-
1
-
-
0000911221
-
Bounds on conditional probabilities with applications in multi-user communication
-
correction in 39 (1977) 353-354
-
R. Ahlswede, P. Gács and J. Körner, Bounds on conditional probabilities with applications in multi-user communication. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete 34 (1976) 157-177. (correction in 39 (1977) 353-354).
-
(1976)
Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete
, vol.34
, pp. 157-177
-
-
Ahlswede, R.1
Gács, P.2
Körner, J.3
-
2
-
-
33747454027
-
The method of potential functions for the problem of restoring the characteristic of a function converter from randomly observed points
-
M.A. Aizerman, E.M. Braverman and L.I. Rozonoer, The method of potential functions for the problem of restoring the characteristic of a function converter from randomly observed points. Automat. Remote Control 25 (1964) 1546-1556.
-
(1964)
Automat. Remote Control
, vol.25
, pp. 1546-1556
-
-
Aizerman, M.A.1
Braverman, E.M.2
Rozonoer, L.I.3
-
3
-
-
33747467331
-
The probability problem of pattern recognition learning and the method of potential functions
-
M.A. Aizerman, E.M. Braverman and L.I. Rozonoer, The probability problem of pattern recognition learning and the method of potential functions. Automat. Remote Control 25 (1964) 1307-1323.
-
(1964)
Automat. Remote Control
, vol.25
, pp. 1307-1323
-
-
Aizerman, M.A.1
Braverman, E.M.2
Rozonoer, L.I.3
-
4
-
-
84932021208
-
Theoretical foundations of the potential function method in pattern recognition learning
-
M.A. Aizerman, E.M. Braverman and L.I. Rozonoer, Theoretical foundations of the potential function method in pattern recognition learning. Automat. Remote Control 25 (1964) 917-936.
-
(1964)
Automat. Remote Control
, vol.25
, pp. 917-936
-
-
Aizerman, M.A.1
Braverman, E.M.2
Rozonoer, L.I.3
-
6
-
-
0016355478
-
A new look at the statistical model identification
-
H. Akaike, A new look at the statistical model identification. IEEE Trans. Automat. Control 19 (1974) 716-723.
-
(1974)
IEEE Trans. Automat. Control
, vol.19
, pp. 716-723
-
-
Akaike, H.1
-
7
-
-
0031519029
-
A remark on the Szarek-Talagrand theorem
-
S. Alesker, A remark on the Szarek-Talagrand theorem. Combin. Probab. Comput. 6 (1997) 139-144.
-
(1997)
Combin. Probab. Comput.
, vol.6
, pp. 139-144
-
-
Alesker, S.1
-
8
-
-
0031176507
-
Scale-sensitive dimensions, uniform convergence, and learnability
-
N. Alon, S. Ben-David, N. Cesa-Bianchi and D. Haussler, Scale-sensitive dimensions, uniform convergence, and learnability. J. ACM 44 (1997) 615-631.
-
(1997)
J. ACM
, vol.44
, pp. 615-631
-
-
Alon, N.1
Ben-David, S.2
Cesa-Bianchi, N.3
Haussler, D.4
-
10
-
-
0003487046
-
-
Cambridge Tracts in Theoretical Computer Science (30). Cambridge University Press, Cambridge
-
M. Anthony and N. Biggs, Computational Learning Theory. Cambridge Tracts in Theoretical Computer Science (30). Cambridge University Press, Cambridge (1992).
-
(1992)
Computational Learning Theory
-
-
Anthony, M.1
Biggs, N.2
-
13
-
-
0042967689
-
Data-dependent margin-based generalization bounds for classification
-
A. Antos, B. Kégl, T. Linder and G. Lugosi, Data-dependent margin-based generalization bounds for classification. J. Machine Learning Res. 3 (2002) 73-98.
-
(2002)
J. Machine Learning Res.
, vol.3
, pp. 73-98
-
-
Antos, A.1
Kégl, B.2
Linder, T.3
Lugosi, G.4
-
14
-
-
0031698444
-
Strong minimax lower bounds for learning
-
A. Antos and G. Lugosi, Strong minimax lower bounds for learning. Machine Learning 30 (1998) 31-56.
-
(1998)
Machine Learning
, vol.30
, pp. 31-56
-
-
Antos, A.1
Lugosi, G.2
-
16
-
-
84898977749
-
Pac-Bayesian generic chaining
-
L. Saul, S. Thrun and B. Schölkopf Eds., Cambridge, Mass., MIT Press
-
J.-Y. Audibert and O. Bousquet, Pac-Bayesian generic chaining, in Advances in Neural Information Processing Systems 16, L. Saul, S. Thrun and B. Schölkopf Eds., Cambridge, Mass., MIT Press (2004).
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
-
-
Audibert, J.-Y.1
Bousquet, O.2
-
18
-
-
84972574511
-
Weighted sums of certain dependent random variables
-
K. Azuma, Weighted sums of certain dependent random variables. Tohoku Math. J. 68 (1967) 357-367.
-
(1967)
Tohoku Math. J.
, vol.68
, pp. 357-367
-
-
Azuma, K.1
-
19
-
-
0034398141
-
Model selection for regression on a fixed design
-
Y. Baraud, Model selection for regression on a fixed design. Probability Theory and Related Fields 117 (2000) 467-493.
-
(2000)
Probability Theory and Related Fields
, vol.117
, pp. 467-493
-
-
Baraud, Y.1
-
21
-
-
0003757634
-
-
Technical Report TR 56, Department of Statistics, Stanford University
-
A.R. Barron, Logically smooth density estimation. Technical Report TR 56, Department of Statistics, Stanford University (1985).
-
(1985)
Logically Smooth Density Estimation
-
-
Barron, A.R.1
-
22
-
-
0001347323
-
Complexity regularization with application to artificial neural networks
-
G. Roussas Ed. NATO ASI Series, Kluwer Academic Publishers, Dordrecht
-
A.R. Barron, Complexity regularization with application to artificial neural networks, in Nonparametric Functional Estimation and Related Topics, G. Roussas Ed. NATO ASI Series, Kluwer Academic Publishers, Dordrecht (1991) 561-576.
-
(1991)
Nonparametric Functional Estimation and Related Topics
, pp. 561-576
-
-
Barron, A.R.1
-
26
-
-
0037031025
-
Hardness results for neural network approximation problems
-
P.L. Bartlett and S. Ben-David, Hardness results for neural network approximation problems. Theoret. Comput. Sci. 284 (2002) 53-66.
-
(2002)
Theoret. Comput. Sci.
, vol.284
, pp. 53-66
-
-
Bartlett, P.L.1
Ben-David, S.2
-
27
-
-
26444500554
-
Convexity, classification, and risk bounds
-
to appear
-
P.L. Bartlett, M.I. Jordan and J.D. McAuliffe, Convexity, classification, and risk bounds. J. Amer. Statis. Assoc., to appear (2005).
-
(2005)
J. Amer. Statis. Assoc.
-
-
Bartlett, P.L.1
Jordan, M.I.2
McAuliffe, J.D.3
-
28
-
-
4644327403
-
Vapnik-Chervonenkis dimension of neural nets
-
M.A. Arbib Ed. MIT Press, second edition
-
P.L. Bartlett and W. Maass, Vapnik-Chervonenkis dimension of neural nets, in Handbook Brain Theory Neural Networks, M.A. Arbib Ed. MIT Press, second edition. (2003) 1188-1192.
-
(2003)
Handbook Brain Theory Neural Networks
, pp. 1188-1192
-
-
Bartlett, P.L.1
Maass, W.2
-
29
-
-
0038453192
-
Rademacher and gaussian complexities: Risk bounds and structural results
-
P.L. Bartlett and S. Mendelson, Rademacher and gaussian complexities: risk bounds and structural results. J. Machine Learning Res. 3 (2002) 463-482.
-
(2002)
J. Machine Learning Res.
, vol.3
, pp. 463-482
-
-
Bartlett, P.L.1
Mendelson, S.2
-
31
-
-
0039607373
-
Potential function algorithms for pattern recognition learning machines
-
O. Bashkirov, E.M. Braverman and I.E. Muchnik, Potential function algorithms for pattern recognition learning machines. Automat. Remote Control 25 (1964) 692-695.
-
(1964)
Automat. Remote Control
, vol.25
, pp. 692-695
-
-
Bashkirov, O.1
Braverman, E.M.2
Muchnik, I.E.3
-
32
-
-
0042967747
-
Limitations of learning via embeddings in Euclidean half spaces
-
S. Ben-David, N. Eiron and H.-U. Simon, Limitations of learning via embeddings in Euclidean half spaces. J. Machine Learning Res. 3 (2002) 441-461.
-
(2002)
J. Machine Learning Res.
, vol.3
, pp. 441-461
-
-
Ben-David, S.1
Eiron, N.2
Simon, H.-U.3
-
33
-
-
0001917727
-
Probability inequalities for the sum of independent random variables
-
G. Bennett, Probability inequalities for the sum of independent random variables. J. Amer. Statis. Assoc. 57 (1962) 33-45.
-
(1962)
J. Amer. Statis. Assoc.
, vol.57
, pp. 33-45
-
-
Bennett, G.1
-
35
-
-
0042613398
-
An alternative point of view on Lepski's method
-
State of the art in probability and statistics (Leiden, 1999), Inst. Math. Statist., Beachwood, OH
-
L. Birgé, An alternative point of view on Lepski's method, in State of the art in probability and statistics (Leiden, 1999), Inst. Math. Statist., Beachwood, OH, IMS Lecture Notes Monogr. Ser. 36 (2001) 113-133.
-
(2001)
IMS Lecture Notes Monogr. Ser.
, vol.36
, pp. 113-133
-
-
Birgé, L.1
-
36
-
-
21344492381
-
Rates of convergence for minimum contrast estimators
-
L. Birgé and P. Massart, Rates of convergence for minimum contrast estimators. Probab. Theory Related Fields 97 (1993) 113-150.
-
(1993)
Probab. Theory Related Fields
, vol.97
, pp. 113-150
-
-
Birgé, L.1
Massart, P.2
-
37
-
-
0003100694
-
From model selection to adaptive estimation
-
E. Torgersen D. Pollard and G. Yang Eds., Springer, New York
-
L. Birgé and P. Massart, From model selection to adaptive estimation, in Festschrift for Lucien Le Cam: Research papers in Probability and Statistics, E. Torgersen D. Pollard and G. Yang Eds., Springer, New York (1997) 55-87.
-
(1997)
Festschrift for Lucien le Cam: Research Papers in Probability and Statistics
, pp. 55-87
-
-
Birgé, L.1
Massart, P.2
-
38
-
-
0000492892
-
Minimum contrast estimators on sieves: Exponential bounds and rates of convergence
-
L. Birgé and P. Massart, Minimum contrast estimators on sieves: exponential bounds and rates of convergence. Bernoulli 4 (1998) 329-375.
-
(1998)
Bernoulli
, vol.4
, pp. 329-375
-
-
Birgé, L.1
Massart, P.2
-
39
-
-
48849111622
-
Statistical performance of support vector machines
-
to appear
-
G. Blanchard, O. Bousquet and P. Massart, Statistical performance of support vector machines. Ann. Statist., to appear (2006).
-
(2006)
Ann. Statist.
-
-
Blanchard, G.1
Bousquet, O.2
Massart, P.3
-
40
-
-
3042675892
-
On the rates of convergence of regularized boosting classifiers
-
G. Blanchard, G. Lugosi and N. Vayatis, On the rates of convergence of regularized boosting classifiers. J. Machine Learning Res. 4 (2003) 861-894.
-
(2003)
J. Machine Learning Res.
, vol.4
, pp. 861-894
-
-
Blanchard, G.1
Lugosi, G.2
Vayatis, N.3
-
42
-
-
0031484536
-
Poincaré's inequalities and Talagrands's concentration phenomenon for the exponential distribution
-
S. Bobkov and M. Ledoux, Poincaré's inequalities and Talagrands's concentration phenomenon for the exponential distribution. Probab. Theory Related Fields 107 (1997) 383-400.
-
(1997)
Probab. Theory Related Fields
, vol.107
, pp. 383-400
-
-
Bobkov, S.1
Ledoux, M.2
-
43
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Association for Computing Machinery, New York, NY
-
B. Boser, I. Guyon and V.N. Vapnik, A training algorithm for optimal margin classifiers, in Proc. of the Fifth Annual ACM Workshop on Computational Learning Theory (COLT). Association for Computing Machinery, New York, NY (1992) 144-152.
-
(1992)
Proc. of the Fifth Annual ACM Workshop on Computational Learning Theory (COLT)
, pp. 144-152
-
-
Boser, B.1
Guyon, I.2
Vapnik, V.N.3
-
44
-
-
17044422233
-
Moment inequalities for functions of independent random variables
-
S. Boucheron, O. Bousquet, G. Lugosi and P. Massart, Moment inequalities for functions of independent random variables. Ann. Probab. 33 (2005) 514-560.
-
(2005)
Ann. Probab.
, vol.33
, pp. 514-560
-
-
Boucheron, S.1
Bousquet, O.2
Lugosi, G.3
Massart, P.4
-
46
-
-
0038373013
-
Concentration inequalities using the entropy method
-
S. Boucheron, G. Lugosi and P. Massart, Concentration inequalities using the entropy method. Ann. Probab. 31 (2003) 1583-1614.
-
(2003)
Ann. Probab.
, vol.31
, pp. 1583-1614
-
-
Boucheron, S.1
Lugosi, G.2
Massart, P.3
-
47
-
-
0037561860
-
A Bennett concentration inequality and its application to suprema of empirical processes
-
O. Bousquet, A Bennett concentration inequality and its application to suprema of empirical processes. C. R. Acad. Sci. Paris 334 (2002) 495-500.
-
(2002)
C. R. Acad. Sci. Paris
, vol.334
, pp. 495-500
-
-
Bousquet, O.1
-
48
-
-
18844378634
-
Concentration inequalities for sub-additive functions using the entropy method
-
C. Houdré E. Giné and D. Nualart Eds., Birkhauser
-
O. Bousquet, Concentration inequalities for sub-additive functions using the entropy method, in Stochastic Inequalities and Applications, C. Houdré E. Giné and D. Nualart Eds., Birkhauser (2003).
-
(2003)
Stochastic Inequalities and Applications
-
-
Bousquet, O.1
-
51
-
-
0346786584
-
Arcing classifiers
-
L. Breiman, Arcing classifiers. Ann. Statist. 26 (1998) 801-849.
-
(1998)
Ann. Statist.
, vol.26
, pp. 801-849
-
-
Breiman, L.1
-
52
-
-
14644395930
-
Some infinite theory for predictor ensembles
-
L. Breiman, Some infinite theory for predictor ensembles. Ann. Statist. 32 (2004) 1-11.
-
(2004)
Ann. Statist.
, vol.32
, pp. 1-11
-
-
Breiman, L.1
-
53
-
-
0003802343
-
-
Wadsworth International, Belmont, CA
-
L. Breiman, J.H. Friedman, R.A. Olshen and C.J. Stone, Classification and Regression Trees. Wadsworth International, Belmont, CA (1984).
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
54
-
-
0043245810
-
2-loss: Regression and classification
-
P. Bühlmann and B. Yu, Boosting with the l2-loss: Regression and classification. J. Amer. Statis. Assoc. 98 (2004) 324-339.
-
(2004)
J. Amer. Statis. Assoc.
, vol.98
, pp. 324-339
-
-
Bühlmann, P.1
Yu, B.2
-
56
-
-
0042265613
-
Density estimation via exponential model selection
-
G. Castellan, Density estimation via exponential model selection. IEEE Trans. Inform. Theory 49 (2003) 2052-2060.
-
(2003)
IEEE Trans. Inform. Theory
, vol.49
, pp. 2052-2060
-
-
Castellan, G.1
-
58
-
-
33646360369
-
Statistical learning theory and stochastic optimization
-
École d'été de Probabilités de Saint-Flour XXXI. Springer-Verlag
-
O. Catoni, Statistical learning theory and stochastic optimization. École d'été de Probabilités de Saint-Flour XXXI. Springer-Verlag. Lect. Notes Math. 1851 (2004).
-
(2004)
Lect. Notes Math.
, vol.1851
-
-
Catoni, O.1
-
60
-
-
0345767185
-
A graph-theoretic generalization of the Sauer-Shelah lemma
-
N. Cesa-Bianchi and D. Haussler, A graph-theoretic generalization of the Sauer-Shelah lemma. Discrete Appl. Math. 86 (1998) 27-35.
-
(1998)
Discrete Appl. Math.
, vol.86
, pp. 27-35
-
-
Cesa-Bianchi, N.1
Haussler, D.2
-
61
-
-
0036643072
-
Logistic regression, AdaBoost and Bregman distances
-
M. Collins, R.E. Schapire and Y. Singer, Logistic regression, AdaBoost and Bregman distances. Machine Learning 48 (2002) 253-285.
-
(2002)
Machine Learning
, vol.48
, pp. 253-285
-
-
Collins, M.1
Schapire, R.E.2
Singer, Y.3
-
63
-
-
84918441630
-
Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
-
T.M. Cover, Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. IEEE Trans. Electronic Comput. 14 (1965) 326-334.
-
(1965)
IEEE Trans. Electronic Comput.
, vol.14
, pp. 326-334
-
-
Cover, T.M.1
-
64
-
-
34250263445
-
Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
-
P. Craven and G. Wahba, Smoothing noisy data with spline functions: estimating the correct degree of smoothing by the method of generalized cross-validation. Numer. Math. 31 (1979) 377-403.
-
(1979)
Numer. Math.
, vol.31
, pp. 377-403
-
-
Craven, P.1
Wahba, G.2
-
66
-
-
0036611605
-
Large-scale typicality of Markov sample paths and consistency of MDL order estimators
-
I. Csiszár, Large-scale typicality of Markov sample paths and consistency of MDL order estimators. IEEE Trans. Inform. Theory 48 (2002) 1616-1628.
-
(2002)
IEEE Trans. Inform. Theory
, vol.48
, pp. 1616-1628
-
-
Csiszár, I.1
-
67
-
-
0034343421
-
The consistency of the BIC Markov order estimator
-
I. Csiszár and P. Shields, The consistency of the BIC Markov order estimator. Ann. Statist. 28 (2000) 1601-1619.
-
(2000)
Ann. Statist.
, vol.28
, pp. 1601-1619
-
-
Csiszár, I.1
Shields, P.2
-
68
-
-
0036071370
-
On the mathematical foundations of learning
-
F. Cucker and S. Smale, On the mathematical foundations of learning. Bull. Amer. Math. Soc. (2002) 1-50.
-
(2002)
Bull. Amer. Math. Soc.
, pp. 1-50
-
-
Cucker, F.1
Smale, S.2
-
69
-
-
0031514634
-
Information inequalities and concentration of measure
-
A. Dembo, Information inequalities and concentration of measure. Ann. Probab. 25 (1997) 927-939.
-
(1997)
Ann. Probab.
, vol.25
, pp. 927-939
-
-
Dembo, A.1
-
71
-
-
0024053797
-
Automatic pattern recognition: A study of the probability of error
-
L. Devroye, Automatic pattern recognition: A study of the probability of error. IEEE Trans. Pattern Anal. Machine Intelligence 10 (1988) 530-543.
-
(1988)
IEEE Trans. Pattern Anal. Machine Intelligence
, vol.10
, pp. 530-543
-
-
Devroye, L.1
-
73
-
-
0029342607
-
Lower bounds in pattern recognition and learning
-
L. Devroye and G. Lugosi, Lower bounds in pattern recognition and learning. Pattern Recognition 28 (1995) 1011-1018.
-
(1995)
Pattern Recognition
, vol.28
, pp. 1011-1018
-
-
Devroye, L.1
Lugosi, G.2
-
74
-
-
0018444763
-
Distribution-free inequalities for the deleted and holdout error estimates
-
L. Devroye and T. Wagner, Distribution-free inequalities for the deleted and holdout error estimates. IEEE Trans. Inform. Theory 25(2) (1979) 202-207.
-
(1979)
IEEE Trans. Inform. Theory
, vol.25
, Issue.2
, pp. 202-207
-
-
Devroye, L.1
Wagner, T.2
-
75
-
-
0018520640
-
Distribution-free performance bounds for potential function rules
-
L. Devroye and T. Wagner, Distribution-free performance bounds for potential function rules. IEEE Trans. Inform. Theory 25(5) (1979) 601-604.
-
(1979)
IEEE Trans. Inform. Theory
, vol.25
, Issue.5
, pp. 601-604
-
-
Devroye, L.1
Wagner, T.2
-
76
-
-
0041958932
-
Ideal spatial adaptation by wavelet shrinkage
-
D.L. Donoho and I.M. Johnstone, Ideal spatial adaptation by wavelet shrinkage. Biometrika 81(3) (1994) 425-455.
-
(1994)
Biometrika
, vol.81
, Issue.3
, pp. 425-455
-
-
Donoho, D.L.1
Johnstone, I.M.2
-
79
-
-
0000421687
-
Central limit theorems for empirical measures
-
R.M. Dudley, Central limit theorems for empirical measures. Ann. Probab. 6 (1978) 899-929.
-
(1978)
Ann. Probab.
, vol.6
, pp. 899-929
-
-
Dudley, R.M.1
-
80
-
-
0011275803
-
k do not cut all subsets of k + 2 points
-
R.M. Dudley, Balls in Rk do not cut all subsets of k + 2 points. Advances Math. 31 (3) (1979) 306-308.
-
(1979)
Advances Math.
, vol.31
, Issue.3
, pp. 306-308
-
-
Dudley, R.M.1
-
81
-
-
0000085854
-
Empirical processes in École de Probabilité de St. Flour 1982
-
R.M. Dudley, Empirical processes, in École de Probabilité de St. Flour 1982. Lect. Notes Math. 1097 (1984).
-
(1984)
Lect. Notes Math.
, vol.1097
-
-
Dudley, R.M.1
-
82
-
-
0001605679
-
Universal Donsker classes and metric entropy
-
R.M. Dudley, Universal Donsker classes and metric entropy. Ann. Probab. 15 (1987) 1306-1326.
-
(1987)
Ann. Probab.
, vol.15
, pp. 1306-1326
-
-
Dudley, R.M.1
-
84
-
-
0000050198
-
Uniform and universal Glivenko-Cantelli classes
-
R.M. Dudley, E. Giné and J. Zinn, Uniform and universal Glivenko-Cantelli classes. J. Theoret. Probab. 4 (1991) 485-510.
-
(1991)
J. Theoret. Probab.
, vol.4
, pp. 485-510
-
-
Dudley, R.M.1
Giné, E.2
Zinn, J.3
-
85
-
-
0002344794
-
Bootstrap methods: Another look at the jackknife
-
B. Efron, Bootstrap methods: another look at the jackknife. Ann. Statist. 7 (1979) 1-26.
-
(1979)
Ann. Statist.
, vol.7
, pp. 1-26
-
-
Efron, B.1
-
88
-
-
0024739191
-
A general lower bound on the number of examples needed for learning
-
A. Ehrenfeucht, D. Haussler, M. Kearns and L. Valiant, A general lower bound on the number of examples needed for learning. Inform. Comput. 82 (1989) 247-261.
-
(1989)
Inform. Comput.
, vol.82
, pp. 247-261
-
-
Ehrenfeucht, A.1
Haussler, D.2
Kearns, M.3
Valiant, L.4
-
89
-
-
0002439508
-
Regularization networks and support vector machines
-
A.J. Smola, P.L. Bartlett B. Schölkopf and D. Schuurmans, Eds., Cambridge, MA, MIT Press.
-
T. Evgeniou, M. Pontil and T. Poggio, Regularization networks and support vector machines, in Advances in Large Margin Classifiers, A.J. Smola, P.L. Bartlett B. Schölkopf and D. Schuurmans, Eds., Cambridge, MA, MIT Press. (2000) 171-203.
-
(2000)
Advances in Large Margin Classifiers
, pp. 171-203
-
-
Evgeniou, T.1
Pontil, M.2
Poggio, T.3
-
90
-
-
0037600798
-
On the trace of finite sets
-
P. Frankl, On the trace of finite sets. J. Combin. Theory, Ser. A 34 (1983) 41-45.
-
(1983)
J. Combin. Theory, Ser. A
, vol.34
, pp. 41-45
-
-
Frankl, P.1
-
91
-
-
58149321460
-
Boosting a weak learning algorithm by majority
-
Y. Freund, Boosting a weak learning algorithm by majority. Inform. Comput. 121 (1995) 256-285.
-
(1995)
Inform. Comput.
, vol.121
, pp. 256-285
-
-
Freund, Y.1
-
93
-
-
24344500472
-
Generalization bounds for averaged classifiers (how to be a Bayesian without believing)
-
Y. Freund, Y. Mansour and R.E. Schapire, Generalization bounds for averaged classifiers (how to be a Bayesian without believing). Ann. Statist. (2004).
-
(2004)
Ann. Statist.
-
-
Freund, Y.1
Mansour, Y.2
Schapire, R.E.3
-
94
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund and R. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55 (1997) 119-139.
-
(1997)
J. Comput. Syst. Sci.
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
95
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie and R. Tibshirani, Additive logistic regression: a statistical view of boosting. Ann. Statist. 28 (2000) 337-374.
-
(2000)
Ann. Statist.
, vol.28
, pp. 337-374
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
98
-
-
0002957273
-
Empirical processes and applications: An overview
-
E. Giné, Empirical processes and applications: an overview. Bernoulli 2 (1996) 1-28.
-
(1996)
Bernoulli
, vol.2
, pp. 1-28
-
-
Giné, E.1
-
99
-
-
0000145024
-
Some limit theorems for empirical processes
-
E. Giné and J. Zinn, Some limit theorems for empirical processes. Ann. Probab. 12 (1984) 929-989.
-
(1984)
Ann. Probab.
, vol.12
, pp. 929-989
-
-
Giné, E.1
Zinn, J.2
-
100
-
-
0347559217
-
Lectures on some aspects of the bootstrap
-
Lectures on probability theory and statistics (Saint-Flour, 1996)
-
E. Giné, Lectures on some aspects of the bootstrap, in Lectures on probability theory and statistics (Saint-Flour, 1996). Lect. Notes Math. 1665 (1997) 37-151.
-
(1997)
Lect. Notes Math.
, vol.1665
, pp. 37-151
-
-
Giné, E.1
-
101
-
-
0029256399
-
Bounding the Vapnik-Chervonenkis dimension of concept classes parametrized by real numbers
-
P. Goldberg and M. Jerrum, Bounding the Vapnik-Chervonenkis dimension of concept classes parametrized by real numbers. Machine Learning 18 (1995) 131-148.
-
(1995)
Machine Learning
, vol.18
, pp. 131-148
-
-
Goldberg, P.1
Jerrum, M.2
-
103
-
-
0000638595
-
Large sample optimality of least squares cross-validation in density estimation
-
P. Hall, Large sample optimality of least squares cross-validation in density estimation. Ann. Statist. 11 (1983) 1156-1174.
-
(1983)
Ann. Statist.
, vol.11
, pp. 1156-1174
-
-
Hall, P.1
-
105
-
-
0002192516
-
Decision theoretic generalizations of the pac model for neural nets and other learning applications
-
D. Haussler, Decision theoretic generalizations of the pac model for neural nets and other learning applications. Inform. Comput. 100 (1992) 78-150.
-
(1992)
Inform. Comput.
, vol.100
, pp. 78-150
-
-
Haussler, D.1
-
106
-
-
0000996139
-
Sphere packing numbers for subsets of the boolean n-cube with bounded Vapnik-Chervonenkis dimension
-
D. Haussler, Sphere packing numbers for subsets of the boolean n-cube with bounded Vapnik-Chervonenkis dimension. J. Combin. Theory, Ser. A 69 (1995) 217-232.
-
(1995)
J. Combin. Theory, Ser. A
, vol.69
, pp. 217-232
-
-
Haussler, D.1
-
107
-
-
0024137232
-
Predicting {0, 1} functions from randomly drawn points
-
IEEE Computer Society Press, Los Alamitos, CA
-
D. Haussler, N. Littlestone and M. Warmuth, Predicting {0, 1} functions from randomly drawn points, in Proc. of the 29th IEEE Symposium on the Foundations of Computer Science, IEEE Computer Society Press, Los Alamitos, CA (1988) 100-109.
-
(1988)
th IEEE Symposium on the Foundations of Computer Science
, pp. 100-109
-
-
Haussler, D.1
Littlestone, N.2
Warmuth, M.3
-
109
-
-
84947403595
-
Probability inequalities for sums of bounded random variables
-
W. Hoeffding, Probability inequalities for sums of bounded random variables. J. Amer. Statist. Assoc. 58 (1963) 13-30.
-
(1963)
J. Amer. Statist. Assoc.
, vol.58
, pp. 13-30
-
-
Hoeffding, W.1
-
110
-
-
0000250624
-
The behavior of the maximum likelihood estimates under non-standard conditions
-
Univ. California Press
-
P. Huber, The behavior of the maximum likelihood estimates under non-standard conditions, in Proc. Fifth Berkeley Symposium on Probability and Mathematical Statistics, Univ. California Press (1967) 221-233.
-
(1967)
Proc. Fifth Berkeley Symposium on Probability and Mathematical Statistics
, pp. 221-233
-
-
Huber, P.1
-
111
-
-
26444545593
-
Process consistency for adaboost
-
W. Jiang, Process consistency for adaboost. Ann. Statist. 32 (2004) 13-29.
-
(2004)
Ann. Statist.
, vol.32
, pp. 13-29
-
-
Jiang, W.1
-
114
-
-
0031077292
-
Polynomial bounds for vc dimension of sigmoidal and general pfaffian neural networks
-
M. Karpinski and A. Macintyre, Polynomial bounds for vc dimension of sigmoidal and general pfaffian neural networks. J. Comput. Syst. Sci. 54 (1997).
-
(1997)
J. Comput. Syst. Sci.
, vol.54
-
-
Karpinski, M.1
Macintyre, A.2
-
115
-
-
85030049525
-
An experimental and theoretical comparison of model selection methods
-
Association for Computing Machinery, New York
-
M. Kearns, Y. Mansour, A.Y. Ng and D. Ron, An experimental and theoretical comparison of model selection methods, in Proc. of the Eighth Annual ACM Workshop on Computational Learning Theory, Association for Computing Machinery, New York (1995) 21-30.
-
(1995)
Proc. of the Eighth Annual ACM Workshop on Computational Learning Theory
, pp. 21-30
-
-
Kearns, M.1
Mansour, Y.2
Ng, A.Y.3
Ron, D.4
-
116
-
-
0033566418
-
Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
-
M.J. Kearns and D. Ron, Algorithmic stability and sanity-check bounds for leave-one-out cross-validation. Neural Comput. 11(6) (1999) 1427-1453.
-
(1999)
Neural Comput.
, vol.11
, Issue.6
, pp. 1427-1453
-
-
Kearns, M.J.1
Ron, D.2
-
119
-
-
0027601935
-
Strongly consistent code-based identification and order estimation for constrained finite-state model classes
-
J.C. Kieffer, Strongly consistent code-based identification and order estimation for constrained finite-state model classes. IEEE Trans. Inform. Theory 39 (1993) 893-902.
-
(1993)
IEEE Trans. Inform. Theory
, vol.39
, pp. 893-902
-
-
Kieffer, J.C.1
-
120
-
-
0000406385
-
A correspondence between Bayesian estimation on stochastic processes and smoothing by splines
-
G.S. Kimeldorf and G. Wahba, A correspondence between Bayesian estimation on stochastic processes and smoothing by splines. Ann. Math. Statist. 41 (1970) 495-502.
-
(1970)
Ann. Math. Statist.
, vol.41
, pp. 495-502
-
-
Kimeldorf, G.S.1
Wahba, G.2
-
122
-
-
0001321136
-
On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition
-
A.N. Kolmogorov, On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition. Dokl. Akad. Nauk SSSR 114 (1957) 953-956.
-
(1957)
Dokl. Akad. Nauk SSSR
, vol.114
, pp. 953-956
-
-
Kolmogorov, A.N.1
-
124
-
-
0035397715
-
Rademacher penalties and structural risk minimization
-
V. Koltchinskii, Rademacher penalties and structural risk minimization. IEEE Trans. Inform. Theory 47 (2001) 1902-1914.
-
(2001)
IEEE Trans. Inform. Theory
, vol.47
, pp. 1902-1914
-
-
Koltchinskii, V.1
-
126
-
-
0001166808
-
Rademacher processes and bounding the risk of function learning
-
E. Giné, D.M. Mason and J.A. Wellner, Eds.
-
V. Koltchinskii and D. Panchenko, Rademacher processes and bounding the risk of function learning, in High Dimensional Probability II, E. Giné, D.M. Mason and J.A. Wellner, Eds. (2000) 443-459.
-
(2000)
High Dimensional Probability II
, pp. 443-459
-
-
Koltchinskii, V.1
Panchenko, D.2
-
127
-
-
0036104545
-
Empirical margin distributions and bounding the generalization error of combined classifiers
-
V. Koltchinskii and D. Panchenko, Empirical margin distributions and bounding the generalization error of combined classifiers. Ann. Statist. 30 (2002).
-
(2002)
Ann. Statist.
, vol.30
-
-
Koltchinskii, V.1
Panchenko, D.2
-
128
-
-
0032182920
-
Learning pattern classification - A survey
-
Information Theory: 1948-1998. Commemorative special issue
-
S. Kulkarni, G. Lugosi and S. Venkatesh, Learning pattern classification - a survey. IEEE Trans. Inform. Theory 44 (1998) 2178-2206. Information Theory: 1948-1998. Commemorative special issue.
-
(1998)
IEEE Trans. Inform. Theory
, vol.44
, pp. 2178-2206
-
-
Kulkarni, S.1
Lugosi, G.2
Venkatesh, S.3
-
131
-
-
0000639280
-
Isoperimetry and gaussian analysis
-
P. Bernard Ed., École d'Été de Probabilités de St-Flour XXIV-1994
-
M. Ledoux, Isoperimetry and gaussian analysis in Lectures on Probability Theory and Statistics, P. Bernard Ed., École d'Été de Probabilités de St-Flour XXIV-1994 (1996) 165-294.
-
(1996)
Lectures on Probability Theory and Statistics
, pp. 165-294
-
-
Ledoux, M.1
-
132
-
-
84996133877
-
On Talagrand's deviation inequalities for product measures
-
M. Ledoux, On Talagrand's deviation inequalities for product measures. ESAIM: PS 1 (1997) 63-87.
-
(1997)
ESAIM: PS
, vol.1
, pp. 63-87
-
-
Ledoux, M.1
-
135
-
-
0031504935
-
Optimal spatial adaptation to inhomogeneous smoothness: An approach based on kernel estimates with variable bandwidth selectors
-
O.V. LepskiѤ, E. Mammen and V.G. Spokoiny, Optimal spatial adaptation to inhomogeneous smoothness: an approach based on kernel estimates with variable bandwidth selectors. Ann. Statist. 25 (1997) 929-947.
-
(1997)
Ann. Statist.
, vol.25
, pp. 929-947
-
-
LepskiѤ, O.V.1
Mammen, E.2
Spokoiny, V.G.3
-
136
-
-
0000012624
-
A problem of adaptive estimation in Gaussian white noise
-
O.V. LepskiѤ, A problem of adaptive estimation in Gaussian white noise. Teor. Veroyatnost. i Primenen. 35 (1990) 459-470.
-
(1990)
Teor. Veroyatnost. i Primenen.
, vol.35
, pp. 459-470
-
-
LepskiѤ, O.V.1
-
137
-
-
0005443544
-
Asymptotically minimax adaptive estimation. I. Upper bounds. Optimally adaptive estimates
-
O.V. LepskiѤ, Asymptotically minimax adaptive estimation. I. Upper bounds. Optimally adaptive estimates. Teor. Veroyatnost. i Primenen. 36 (1991) 645-659.
-
(1991)
Teor. Veroyatnost. i Primenen.
, vol.36
, pp. 645-659
-
-
LepskiѤ, O.V.1
-
138
-
-
0035340553
-
Improved bounds on the sample complexity of learning
-
Y. Li, P.M. Long and A. Srinivasan, Improved bounds on the sample complexity of learning. J. Comput. Syst. Sci. 62 (2001) 516-527.
-
(2001)
J. Comput. Syst. Sci.
, vol.62
, pp. 516-527
-
-
Li, Y.1
Long, P.M.2
Srinivasan, A.3
-
139
-
-
1542277529
-
-
Technical Report 1029r, Department of Statistics, University Wisconsin, Madison
-
Y. Lin, A note on margin-based loss functions in classification. Technical Report 1029r, Department of Statistics, University Wisconsin, Madison (1999).
-
(1999)
A Note on Margin-based Loss Functions in Classification
-
-
Lin, Y.1
-
140
-
-
0242520265
-
-
Technical Report 1044r, Department of Statistics, University of Wisconsin, Madison
-
Y. Lin, Some asymptotic properties of the support vector machine. Technical Report 1044r, Department of Statistics, University of Wisconsin, Madison (1999).
-
(1999)
Some Asymptotic Properties of the Support Vector Machine
-
-
Lin, Y.1
-
141
-
-
0036258405
-
Support vector machines and the bayes rule in classification
-
Y. Lin, Support vector machines and the bayes rule in classification. Data Mining and Knowledge Discovery 6 (2002) 259-275.
-
(2002)
Data Mining and Knowledge Discovery
, vol.6
, pp. 259-275
-
-
Lin, Y.1
-
143
-
-
84867925611
-
Concentration for locally acting permutations
-
M.J. Luczak and C. McDiarmid, Concentration for locally acting permutations. Discrete Math. 265 (2003) 159-171.
-
(2003)
Discrete Math.
, vol.265
, pp. 159-171
-
-
Luczak, M.J.1
McDiarmid, C.2
-
144
-
-
0005375288
-
Pattern classification and learning theory
-
L. Györfi Ed., Springer, Wien
-
G. Lugosi, Pattern classification and learning theory, in Principles of Nonparametric Learning, L. Györfi Ed., Springer, Wien (2002) 5-62.
-
(2002)
Principles of Nonparametric Learning
, pp. 5-62
-
-
Lugosi, G.1
-
145
-
-
0033234644
-
Adaptive model selection using empirical complexities
-
G. Lugosi and A. Nobel, Adaptive model selection using empirical complexities. Ann. Statist. 27 (1999) 1830-1864.
-
(1999)
Ann. Statist.
, vol.27
, pp. 1830-1864
-
-
Lugosi, G.1
Nobel, A.2
-
146
-
-
9444269961
-
On the Bayes-risk consistency of regularized boosting methods
-
G. Lugosi and N. Vayatis, On the Bayes-risk consistency of regularized boosting methods. Ann. Statist. 32 (2004) 30-55.
-
(2004)
Ann. Statist.
, vol.32
, pp. 30-55
-
-
Lugosi, G.1
Vayatis, N.2
-
147
-
-
23744490659
-
Complexity regularization via localized random penalties
-
G. Lugosi and M. Wegkamp, Complexity regularization via localized random penalties. Ann. Statist. 2 (2004) 1679-1697.
-
(2004)
Ann. Statist.
, vol.2
, pp. 1679-1697
-
-
Lugosi, G.1
Wegkamp, M.2
-
148
-
-
0029754587
-
Concept learning using complexity regularization
-
G. Lugosi and K. Zeger, Concept learning using complexity regularization. IEEE Trans. Inform. Theory 42 (1996) 48-54.
-
(1996)
IEEE Trans. Inform. Theory
, vol.42
, pp. 48-54
-
-
Lugosi, G.1
Zeger, K.2
-
150
-
-
84915425007
-
p
-
C.L. Mallows, Some comments on Cp. Technometrics 15 (1997) 661-675.
-
(1997)
Technometrics
, vol.15
, pp. 661-675
-
-
Mallows, C.L.1
-
151
-
-
0033234630
-
Smooth discrimination analysis
-
E. Mammen and A. Tsybakov, Smooth discrimination analysis. Ann. Statist. 27(6) (1999) 1808-1829.
-
(1999)
Ann. Statist.
, vol.27
, Issue.6
, pp. 1808-1829
-
-
Mammen, E.1
Tsybakov, A.2
-
154
-
-
0022720166
-
A simple proof of the blowing-up lemma
-
K. Marton, A simple proof of the blowing-up lemma. IEEE Trans. Inform. Theory 32 (1986) 445-446.
-
(1986)
IEEE Trans. Inform. Theory
, vol.32
, pp. 445-446
-
-
Marton, K.1
-
155
-
-
0030514042
-
Bounding d¯-distance by informational divergence: A way to prove measure concentration
-
K. Marton, Bounding d¯-distance by informational divergence: a way to prove measure concentration. Ann. Probab. 24 (1996) 857-866.
-
(1996)
Ann. Probab.
, vol.24
, pp. 857-866
-
-
Marton, K.1
-
156
-
-
0030557447
-
A measure concentration inequality for contracting Markov chains
-
Erratum: 7 (1997) 609-613
-
K. Marton, A measure concentration inequality for contracting Markov chains. Geometric Functional Analysis 6 (1996) 556-571. Erratum: 7 (1997) 609-613.
-
(1996)
Geometric Functional Analysis
, vol.6
, pp. 556-571
-
-
Marton, K.1
-
157
-
-
0002550596
-
Functional gradient techniques for combining hypotheses
-
A.J. Smola, P.L. Bartlett, B. Schölkopf and D. Schuurmans Eds., MIT Press, Cambridge, MA
-
L. Mason, J. Baxter, P.L. Bartlett and M. Frean, Functional gradient techniques for combining hypotheses, in Advances in Large Margin Classifiers, A.J. Smola, P.L. Bartlett, B. Schölkopf and D. Schuurmans Eds., MIT Press, Cambridge, MA (1999) 221-247.
-
(1999)
Advances in Large Margin Classifiers
, pp. 221-247
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.L.3
Frean, M.4
-
159
-
-
0034345597
-
About the constants in Talagrand's concentration inequalities for empirical processes
-
P. Massart, About the constants in Talagrand's concentration inequalities for empirical processes. Ann. Probab. 28 (2000) 863-884.
-
(2000)
Ann. Probab.
, vol.28
, pp. 863-884
-
-
Massart, P.1
-
160
-
-
0000595627
-
Some applications of concentration inequalities to statistics
-
P. Massart, Some applications of concentration inequalities to statistics. Ann. Fac. Sci. Toulouse IX (2000) 245-303.
-
(2000)
Ann. Fac. Sci. Toulouse IX
, pp. 245-303
-
-
Massart, P.1
-
161
-
-
9444248338
-
-
chapter Concentration inequalities and model selection, LNM. Springer-Verlag
-
P. Massart, École d'Eté de Probabilité de Saint-Flour XXXIII, chapter Concentration inequalities and model selection, LNM. Springer-Verlag (2003).
-
(2003)
École D'Eté de Probabilité de Saint-Flour XXXIII
-
-
Massart, P.1
-
162
-
-
33746094123
-
Risk bounds for statistical learning
-
to appear
-
P. Massart and E. Nédélec, Risk bounds for statistical learning, Ann. Statist., to appear.
-
Ann. Statist.
-
-
Massart, P.1
Nédélec, E.2
-
165
-
-
0037399538
-
Pac-Bayesian stochastic model selection
-
D.A. McAllester, pac-Bayesian stochastic model selection. Machine Learning 51 (2003) 5-21.
-
(2003)
Machine Learning
, vol.51
, pp. 5-21
-
-
McAllester, D.A.1
-
166
-
-
0001035413
-
On the method of bounded differences
-
Cambridge University Press, Cambridge
-
C. McDiarmid, On the method of bounded differences, in Surveys in Combinatorics 1989, Cambridge University Press, Cambridge (1989) 148-188.
-
(1989)
Surveys in Combinatorics 1989
, pp. 148-188
-
-
McDiarmid, C.1
-
167
-
-
0000672724
-
Concentration
-
M. Habib, C. McDiarmid, J. Ramirez-Alfonsin and B. Reed Eds., Springer, New York
-
C. McDiarmid, Concentration, in Probabilistic Methods for Algorithmic Discrete Mathematics, M. Habib, C. McDiarmid, J. Ramirez-Alfonsin and B. Reed Eds., Springer, New York (1998) 195-248.
-
(1998)
Probabilistic Methods for Algorithmic Discrete Mathematics
, pp. 195-248
-
-
McDiarmid, C.1
-
168
-
-
0036004171
-
Concentration for independent permutations
-
C. McDiarmid, Concentration for independent permutations. Combin. Probab. Comput. 2 (2002) 163-178.
-
(2002)
Combin. Probab. Comput.
, vol.2
, pp. 163-178
-
-
McDiarmid, C.1
-
170
-
-
0036648803
-
Improving the sample complexity using global data
-
S. Mendelson, Improving the sample complexity using global data. IEEE Trans. Inform. Theory 48 (2002) 1977-1991.
-
(2002)
IEEE Trans. Inform. Theory
, vol.48
, pp. 1977-1991
-
-
Mendelson, S.1
-
171
-
-
35248851077
-
A few notes on statistical learning theory, in Advanced Lectures in Machine Learning
-
S. Mendelson and A. Smola Eds., Springer
-
S. Mendelson, A few notes on statistical learning theory, in Advanced Lectures in Machine Learning. Lect. Notes Comput. Sci. 2600, S. Mendelson and A. Smola Eds., Springer (2003) 1-40.
-
(2003)
Lect. Notes Comput. Sci.
, vol.2600
, pp. 1-40
-
-
Mendelson, S.1
-
172
-
-
84897541071
-
On the importance of "small" coordinate projections
-
S. Mendelson and P. Philips, On the importance of "small" coordinate projections. J. Machine Learning Res. 5 (2004) 219-238.
-
(2004)
J. Machine Learning Res.
, vol.5
, pp. 219-238
-
-
Mendelson, S.1
Philips, P.2
-
176
-
-
0347979483
-
A note on Talagrand's concentration inequality
-
D. Panchenko, A note on Talagrand's concentration inequality. Electron. Comm. Probab. 6 (2001).
-
(2001)
Electron. Comm. Probab.
, vol.6
-
-
Panchenko, D.1
-
177
-
-
0347349284
-
Some extensions of an inequality of Vapnik and Chervonenkis
-
D. Panchenko, Some extensions of an inequality of Vapnik and Chervonenkis. Electron. Comm. Probab. 7 (2002).
-
(2002)
Electron. Comm. Probab.
, vol.7
-
-
Panchenko, D.1
-
178
-
-
0347593390
-
Symmetrization approach to concentration inequalities for empirical processes
-
D. Panchenko, Symmetrization approach to concentration inequalities for empirical processes. Ann. Probab. 31 (2003) 2068-2081.
-
(2003)
Ann. Probab.
, vol.31
, pp. 2068-2081
-
-
Panchenko, D.1
-
179
-
-
1842420581
-
General conditions for predictivity in learning theory
-
T. Poggio, S. Rifkin, S. Mukherjee and P. Niyogi, General conditions for predictivity in learning theory. Nature 428 (2004) 419-422.
-
(2004)
Nature
, vol.428
, pp. 419-422
-
-
Poggio, T.1
Rifkin, S.2
Mukherjee, S.3
Niyogi, P.4
-
181
-
-
0001191685
-
Uniform ratio limit theorems for empirical processes
-
D. Pollard, Uniform ratio limit theorems for empirical processes. Scand. J. Statist. 22 (1995) 271-278.
-
(1995)
Scand. J. Statist.
, vol.22
, pp. 271-278
-
-
Pollard, D.1
-
182
-
-
0001030653
-
Measuring mass concentrations and estimating density contour clusters-an excess mass approach
-
W. Polonik, Measuring mass concentrations and estimating density contour clusters-an excess mass approach. Ann. Statist. 23(3) (1995) 855-881.
-
(1995)
Ann. Statist.
, vol.23
, Issue.3
, pp. 855-881
-
-
Polonik, W.1
-
183
-
-
0040437027
-
Inégalités de concentration pour les processus empiriques de classes de parties
-
E. Rio, Inégalités de concentration pour les processus empiriques de classes de parties. Probab. Theory Related Fields 119 (2001) 163-175.
-
(2001)
Probab. Theory Related Fields
, vol.119
, pp. 163-175
-
-
Rio, E.1
-
186
-
-
0037551756
-
A finite sample distribution-free performance bound for local discrimination rules
-
W.H. Rogers and T.J. Wagner, A finite sample distribution-free performance bound for local discrimination rules. Ann. Statist. 6 (1978) 506-514.
-
(1978)
Ann. Statist.
, vol.6
, pp. 506-514
-
-
Rogers, W.H.1
Wagner, T.J.2
-
187
-
-
84924079271
-
Combinatorics of random processes and sections of convex bodies
-
to appear
-
M. Rudelson, R. Vershynin, Combinatorics of random processes and sections of convex bodies. Ann. Math, to appear (2004).
-
(2004)
Ann. Math
-
-
Rudelson, M.1
Vershynin, R.2
-
188
-
-
0001703864
-
On the density of families of sets
-
N. Sauer, On the density of families of sets. J. Combin. Theory, Ser A 13 (1972) 145-147.
-
(1972)
J. Combin. Theory, ser A
, vol.13
, pp. 145-147
-
-
Sauer, N.1
-
189
-
-
0025448521
-
The strength of weak learnability
-
R.E. Schapire, The strength of weak learnability. Machine Learning 5 (1990) 197-227.
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.E.1
-
190
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
R.E. Schapire, Y. Freund, P. Bartlett and W.S. Lee, Boosting the margin: a new explanation for the effectiveness of voting methods. Ann. Statist. 26 (1998) 1651-1686.
-
(1998)
Ann. Statist.
, vol.26
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
194
-
-
0041464774
-
PAC-Bayesian generalisation error bounds for gaussian process classification
-
M. Seeger, PAC-Bayesian generalisation error bounds for gaussian process classification. J. Machine Learning Res. 3 (2002) 233-269.
-
(2002)
J. Machine Learning Res.
, vol.3
, pp. 233-269
-
-
Seeger, M.1
-
196
-
-
84972576948
-
A combinatorial problem: Stability and order for models and theories in infinity languages
-
S. Shelah, A combinatorial problem: Stability and order for models and theories in infinity languages. Pacific J. Mathematics 41 (1972) 247-261.
-
(1972)
Pacific J. Mathematics
, vol.41
, pp. 247-261
-
-
Shelah, S.1
-
198
-
-
0027808303
-
General lower bounds on the number of examples needed for learning probabilistic concepts
-
Association for Computing Machinery, New York
-
H.U. Simon, General lower bounds on the number of examples needed for learning probabilistic concepts, in Proc. of the Sixth Annual ACM Conference on Computational Learning Theory, Association for Computing Machinery, New York (1993) 402-412.
-
(1993)
Proc. of the Sixth Annual ACM Conference on Computational Learning Theory
, pp. 402-412
-
-
Simon, H.U.1
-
199
-
-
0003652453
-
-
MIT Press, Cambridge, MA
-
A.J. Smola, P.L. Bartlett, B. Schölkopf and D. Schuurmans Eds, Advances in Large Margin Classifiers. MIT Press, Cambridge, MA (2000).
-
(2000)
Advances in Large Margin Classifiers
-
-
Smola, A.J.1
Bartlett, P.L.2
Schölkopf, B.3
Schuurmans, D.4
-
200
-
-
0032098361
-
The connection between regularization operators and support vector kernels
-
A.J. Smola, B. Schölkopf and K.-R. Müller, The connection between regularization operators and support vector kernels. Neural Networks 11 (1998) 637-649.
-
(1998)
Neural Networks
, vol.11
, pp. 637-649
-
-
Smola, A.J.1
Schölkopf, B.2
Müller, K.-R.3
-
201
-
-
0025399335
-
Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification
-
D.F. Specht, Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification. IEEE Trans. Neural Networks 1 (1990) 111-121.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, pp. 111-121
-
-
Specht, D.F.1
-
202
-
-
0041525684
-
Existence of submatrices with all possible columns
-
J.M. Steele, Existence of submatrices with all possible columns. J. Combin. Theory, Ser. A 28 (1978) 84-88.
-
(1978)
J. Combin. Theory, Ser. A
, vol.28
, pp. 84-88
-
-
Steele, J.M.1
-
203
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
I. Steinwart, On the influence of the kernel on the consistency of support vector machines. J. Machine Learning Res. (2001) 67-93.
-
(2001)
J. Machine Learning Res.
, pp. 67-93
-
-
Steinwart, I.1
-
204
-
-
12444265838
-
Consistency of support vector machines and other regularized kernel machines
-
I. Steinwart, Consistency of support vector machines and other regularized kernel machines. IEEE Trans. Inform. Theory 51(2005) 128-142.
-
(2005)
IEEE Trans. Inform. Theory
, vol.51
, pp. 128-142
-
-
Steinwart, I.1
-
205
-
-
0036749277
-
Support vector machines are universally consistent
-
I. Steinwart, Support vector machines are universally consistent. J. Complexity 18 (2002) 768-791.
-
(2002)
J. Complexity
, vol.18
, pp. 768-791
-
-
Steinwart, I.1
-
206
-
-
0142039767
-
On the optimal parameter choice in ν-support vector machines
-
I. Steinwart, On the optimal parameter choice in ν-support vector machines. IEEE Trans. Pattern Anal. Machine Intelligence 25 (2003) 1274-1284.
-
(2003)
IEEE Trans. Pattern Anal. Machine Intelligence
, vol.25
, pp. 1274-1284
-
-
Steinwart, I.1
-
207
-
-
4644354708
-
Sparseness of support vector machines
-
I. Steinwart, Sparseness of support vector machines. J. Machine Learning Res. 4 (2003) 1071-1105.
-
(2003)
J. Machine Learning Res.
, vol.4
, pp. 1071-1105
-
-
Steinwart, I.1
-
209
-
-
0000080373
-
The Glivenko-Cantelli problem
-
M. Talagrand, The Glivenko-Cantelli problem. Ann. Probab. 15 (1987) 837-870.
-
(1987)
Ann. Probab.
, vol.15
, pp. 837-870
-
-
Talagrand, M.1
-
210
-
-
0001957366
-
Sharper bounds for Gaussian and empirical processes
-
M. Talagrand, Sharper bounds for Gaussian and empirical processes. Ann. Probab. 22 (1994) 28-76.
-
(1994)
Ann. Probab.
, vol.22
, pp. 28-76
-
-
Talagrand, M.1
-
211
-
-
51249165477
-
Concentration of measure and isoperimetric inequalities in product spaces
-
M. Talagrand, Concentration of measure and isoperimetric inequalities in product spaces. Publications Mathématiques de l'I.H.E.S. 81 (1995) 73-205.
-
(1995)
Publications Mathématiques de L'I.H.E.S.
, vol.81
, pp. 73-205
-
-
Talagrand, M.1
-
212
-
-
21344444087
-
The Glivenko-Cantelli problem, ten years later
-
M. Talagrand, The Glivenko-Cantelli problem, ten years later. J. Theoret. Probab. 9 (1996) 371-384.
-
(1996)
J. Theoret. Probab.
, vol.9
, pp. 371-384
-
-
Talagrand, M.1
-
213
-
-
0030369277
-
Majorizing measures: The generic chaining
-
Special Invited Paper
-
M. Talagrand, Majorizing measures: the generic chaining. Ann. Probab. 24 (1996) 1049-1103. (Special Invited Paper).
-
(1996)
Ann. Probab.
, vol.24
, pp. 1049-1103
-
-
Talagrand, M.1
-
214
-
-
0030489977
-
New concentration inequalities in product spaces
-
M. Talagrand, New concentration inequalities in product spaces. Inventiones Mathematicae 126 (1996) 505-563.
-
(1996)
Inventiones Mathematicae
, vol.126
, pp. 505-563
-
-
Talagrand, M.1
-
215
-
-
0030522124
-
A new look at independence
-
Special Invited Paper
-
M. Talagrand, A new look at independence. Ann. Probab. 24 (1996) 1-34. (Special Invited Paper).
-
(1996)
Ann. Probab.
, vol.24
, pp. 1-34
-
-
Talagrand, M.1
-
216
-
-
0037696883
-
Vapnik-Chervonenkis type conditions and uniform Donsker classes of functions
-
M. Talagrand, Vapnik-Chervonenkis type conditions and uniform Donsker classes of functions. Ann. Probab. 31 (2003) 1565-1582.
-
(2003)
Ann. Probab.
, vol.31
, pp. 1565-1582
-
-
Talagrand, M.1
-
218
-
-
0031478562
-
On nonparametric estimation of density level sets
-
A. Tsybakov. On nonparametric estimation of density level sets. Ann. Stat. 25 (1997) 948-969.
-
(1997)
Ann. Stat.
, vol.25
, pp. 948-969
-
-
Tsybakov, A.1
-
219
-
-
3142725508
-
Optimal aggregation of classifiers in statistical learning
-
A.B. Tsybakov, Optimal aggregation of classifiers in statistical learning. Ann. Statist. 32 (2004) 135-166.
-
(2004)
Ann. Statist.
, vol.32
, pp. 135-166
-
-
Tsybakov, A.B.1
-
221
-
-
23744505130
-
Square root penalty: Adaptation to the margin in classification and in edge estimation
-
to appear
-
A. Tsybakov and S. van de Geer, Square root penalty: adaptation to the margin in classification and in edge estimation. Ann. Statist., to appear (2005).
-
(2005)
Ann. Statist.
-
-
Tsybakov, A.1
Van De Geer, S.2
-
222
-
-
0006531393
-
A new approach to least-squares estimation, with applications
-
S. Van de Geer, A new approach to least-squares estimation, with applications. Ann. Statist. 15 (1987) 587-602.
-
(1987)
Ann. Statist.
, vol.15
, pp. 587-602
-
-
Van De Geer, S.1
-
223
-
-
0000709835
-
Estimating a regression function
-
S. Van de Geer, Estimating a regression function. Ann. Statist. 18 (1990) 907-924.
-
(1990)
Ann. Statist.
, vol.18
, pp. 907-924
-
-
Van De Geer, S.1
-
226
-
-
0010864753
-
Pattern recognition using generalized portrait method
-
V. Vapnik and A. Lerner, Pattern recognition using generalized portrait method. Automat. Remote Control 24 (1963) 774-780.
-
(1963)
Automat. Remote Control
, vol.24
, pp. 774-780
-
-
Vapnik, V.1
Lerner, A.2
-
230
-
-
0001024505
-
On the uniform convergence of relative frequencies of events to their probabilities
-
V.N. Vapnik and A.Ya. Chervonenkis, On the uniform convergence of relative frequencies of events to their probabilities.Theory Probab. Appl. 16 (1971) 264-280.
-
(1971)
Theory Probab. Appl.
, vol.16
, pp. 264-280
-
-
Vapnik, V.N.1
Chervonenkis, A.Ya.2
-
232
-
-
0005071949
-
-
Akademie Verlag, Berlin
-
German translation: Theorie der Zeichenerkennung, Akademie Verlag, Berlin (1979).
-
(1979)
Theorie der Zeichenerkennung
-
-
-
233
-
-
0001954668
-
Necessary and sufficient conditions for the uniform convergence of means to their expectations
-
V.N. Vapnik and A.Ya. Chervonenkis, Necessary and sufficient conditions for the uniform convergence of means to their expectations. Theory Probab. Appl. 26 (1981) 821-832.
-
(1981)
Theory Probab. Appl.
, vol.26
, pp. 821-832
-
-
Vapnik, V.N.1
Chervonenkis, A.Ya.2
-
235
-
-
0032202061
-
On the infeasibility of training neural networks with small mean squared error
-
V. Vu, On the infeasibility of training neural networks with small mean squared error. IEEE Trans. Inform. Theory 44 (1998) 2892-2900.
-
(1998)
IEEE Trans. Inform. Theory
, vol.44
, pp. 2892-2900
-
-
Vu, V.1
-
236
-
-
21144432799
-
Model selection in nonparametric regression
-
M. Wegkamp, Model selection in nonparametric regression. Ann. Statist. 31(1) (2003) 252-273.
-
(2003)
Ann. Statist.
, vol.31
, Issue.1
, pp. 252-273
-
-
Wegkamp, M.1
-
237
-
-
0000392470
-
Some special Vapnik-Chervonenkis classes
-
R.S. Wenocur and R.M. Dudley, Some special Vapnik-Chervonenkis classes. Discrete Math. 33 (1981) 313-318.
-
(1981)
Discrete Math.
, vol.33
, pp. 313-318
-
-
Wenocur, R.S.1
Dudley, R.M.2
-
238
-
-
0033321586
-
Minimax nonparametric classification. I. Rates of convergence
-
Y. Yang, Minimax nonparametric classification. I. Rates of convergence. IEEE Trans. Inform. Theory 45(7) (1999) 2271-2284.
-
(1999)
IEEE Trans. Inform. Theory
, vol.45
, Issue.7
, pp. 2271-2284
-
-
Yang, Y.1
-
239
-
-
0033356514
-
Minimax nonparametric classification. II. Model selection for adaptation
-
Y. Yang, Minimax nonparametric classification. II. Model selection for adaptation. IEEE Trans. Inform. Theory 45(7) (1999) 2285-2292.
-
(1999)
IEEE Trans. Inform. Theory
, vol.45
, Issue.7
, pp. 2285-2292
-
-
Yang, Y.1
-
240
-
-
0347607206
-
Adaptive estimation in pattern recognition by combining different procedures
-
Y. Yang, Adaptive estimation in pattern recognition by combining different procedures. Statistica Sinica 10 (2000) 1069-1089.
-
(2000)
Statistica Sinica
, vol.10
, pp. 1069-1089
-
-
Yang, Y.1
-
241
-
-
0000297410
-
Exponential bounds for large deviations
-
V.V. Yurinksii, Exponential bounds for large deviations. Theory Probab. Appl. 19 (1974) 154-155.
-
(1974)
Theory Probab. Appl.
, vol.19
, pp. 154-155
-
-
Yurinksii, V.V.1
-
242
-
-
0000836223
-
Exponential inequalities for sums of random vectors
-
V.V. Yurinksii, Exponential inequalities for sums of random vectors. J. Multivariate Anal. 6 (1976) 473-499.
-
(1976)
J. Multivariate Anal.
, vol.6
, pp. 473-499
-
-
Yurinksii, V.V.1
-
243
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
T. Zhang, Statistical behavior and consistency of classification methods based on convex risk minimization. Ann. Statist. 32 (2004) 56-85.
-
(2004)
Ann. Statist.
, vol.32
, pp. 56-85
-
-
Zhang, T.1
-
244
-
-
0038105204
-
Capacity of reproducing kernel spaces in learning theory
-
D.-X. Zhou, Capacity of reproducing kernel spaces in learning theory. IEEE Trans. Inform. Theory 49 (2003) 1743-1752.
-
(2003)
IEEE Trans. Inform. Theory
, vol.49
, pp. 1743-1752
-
-
Zhou, D.-X.1
|