-
2
-
-
62949181077
-
Exploration-exploitation tradeoff using variance estimates in multi-armed bandits
-
J.Y. Audibert, R. Munos, and C. Szepesvári Exploration- exploitation tradeoff using variance estimates in multi-armed bandits Theoretical Computer Science 410 19 2009 1876 1902
-
(2009)
Theoretical Computer Science
, vol.410
, Issue.19
, pp. 1876-1902
-
-
Audibert, J.Y.1
Munos, R.2
Szepesvári, C.3
-
3
-
-
33645505792
-
Convexity, classification, and risk bounds
-
DOI 10.1198/016214505000000907
-
P.L. Bartlett, M.I. Jordan, and J.D. McAuliffe Convexity, classification, and risk bounds Journal of the American Statistical Association 101 473 2006 138 156 (Pubitemid 43500031)
-
(2006)
Journal of the American Statistical Association
, vol.101
, Issue.473
, pp. 138-156
-
-
Bartlett, P.L.1
Jordan, M.I.2
McAuliffe, J.D.3
-
5
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting and variants
-
E. Bauer, and R. Kohavi An empirical comparison of voting classification algorithms: Bagging, boosting and variants Machine Learning 36 1 1999 105 139
-
(1999)
Machine Learning
, vol.36
, Issue.1
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
7
-
-
0023646365
-
OccamÊs razor
-
A. Blumer, A. Ehrenfeucht, D. Haussler, and M.K. Warmuth OccamÊs razor Information Processing Letter 24 6 1987 377 380
-
(1987)
Information Processing Letter
, vol.24
, Issue.6
, pp. 377-380
-
-
Blumer, A.1
Ehrenfeucht, A.2
Haussler, D.3
Warmuth, M.K.4
-
8
-
-
0346786584
-
Arcing algorithm
-
L. Breiman Arcing algorithm Annuals of Statistics 26 7 1998 801 849
-
(1998)
Annuals of Statistics
, vol.26
, Issue.7
, pp. 801-849
-
-
Breiman, L.1
-
9
-
-
0000275022
-
Prediction games and arcing classifiers
-
L. Breiman Prediction games and arcing classifiers Neural Computation 11 7 1999 1493 1517
-
(1999)
Neural Computation
, vol.11
, Issue.7
, pp. 1493-1517
-
-
Breiman, L.1
-
10
-
-
0013228784
-
-
Tech. Rep. 577 Statistics Department, University of California Berkeley, CA
-
L. Breiman Some infinity theory for predictor ensembles Tech. Rep. 577 2000 Statistics Department, University of California Berkeley, CA
-
(2000)
Some Infinity Theory for Predictor Ensembles
-
-
Breiman, L.1
-
14
-
-
0000182415
-
A measure of asymptotic efficiency of tests of a hypothesis based upon the sum of the observations
-
H. Chernoff A measure of asymptotic efficiency of tests of a hypothesis based upon the sum of the observations Annals of Mathematical Statistics 24 4 1952 493 507
-
(1952)
Annals of Mathematical Statistics
, vol.24
, Issue.4
, pp. 493-507
-
-
Chernoff, H.1
-
16
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization
-
T. Dietterich An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization Machine Learning 40 2 2000 139 157
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-157
-
-
Dietterich, T.1
-
17
-
-
85156217048
-
Boosting decision trees
-
D.S. Touretzky, M. Mozer, M.E. Hasselmo, MIT Press Cambridge, MA
-
H. Drucker, and C. Cortes Boosting decision trees D.S. Touretzky, M. Mozer, M.E. Hasselmo, Advances in Neural Information Processing Systems vol. 8 1996 MIT Press Cambridge, MA 479 485
-
(1996)
Advances in Neural Information Processing Systems
, vol.8 VOL.
, pp. 479-485
-
-
Drucker, H.1
Cortes, C.2
-
19
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Y. Freund, and R.E. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computer and System Sciences 55 1 1997 119 139 (Pubitemid 127433398)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
20
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie, and R. Tibshirani Additive logistic regression: A statistical view of boosting. with discussions Annuals of Statistics 28 2 2000 337 407 (Pubitemid 33227445)
-
(2000)
Annals of Statistics
, vol.28
, Issue.2
, pp. 337-407
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
23
-
-
84947403595
-
Probability inequalities for sum of bounded random variables
-
W. Hoeffding Probability inequalities for sum of bounded random variables Journal of American Statistical Society 58 301 1963 13 30
-
(1963)
Journal of American Statistical Society
, vol.58
, Issue.301
, pp. 13-30
-
-
Hoeffding, W.1
-
24
-
-
26444545593
-
Process consistency for AdaBoost
-
DOI 10.1214/aos/1079120128
-
W. Jiang Process consistency for AdaBoost Annuals of Statistics 32 1 2004 13 29 (Pubitemid 41449303)
-
(2004)
Annals of Statistics
, vol.32
, Issue.1
, pp. 13-29
-
-
Jiang, W.1
-
25
-
-
0036104545
-
Empirical margin distributions and bounding the generalization error of combined classifiers
-
L. Koltchinskii, and D. Panchanko Empirical margin distributions and bounding the generalization error of combined classifiers Annuals of Statistics 30 1 2002 1 50
-
(2002)
Annuals of Statistics
, vol.30
, Issue.1
, pp. 1-50
-
-
Koltchinskii, L.1
Panchanko, D.2
-
26
-
-
26444607491
-
Complexities of convex combinations and bounding the generalization error in classification
-
L. Koltchinskii, and D. Panchanko Complexities of convex combinations and bounding the generalization error in classification Annuals of Statistics 33 4 2005 1455 1496
-
(2005)
Annuals of Statistics
, vol.33
, Issue.4
, pp. 1455-1496
-
-
Koltchinskii, L.1
Panchanko, D.2
-
27
-
-
9444269961
-
On the Bayes-risk consistency of regularized boosting methods
-
DOI 10.1214/aos/1079120129
-
G. Lugosi, and N. Vayatis On the bayes-risk consistency of regularized boosting methods Annuals of Statistics 32 1 2004 30 55 (Pubitemid 41449304)
-
(2004)
Annals of Statistics
, vol.32
, Issue.1
, pp. 30-55
-
-
Lugosi, G.1
Vayatis, N.2
-
28
-
-
84898978212
-
Boosting algorithms as gradient descent
-
S.A. Solla, T.K. Leen, K.-R. Müller, MIT Press Cambridge, MA
-
L. Mason, J. Baxter, P.L. Bartlett, and M.R. Frean Boosting algorithms as gradient descent S.A. Solla, T.K. Leen, K.-R. Müller, Advances in Neural Information Processing Systems vol. 12 1999 MIT Press Cambridge, MA 512 518
-
(1999)
Advances in Neural Information Processing Systems
, vol.12 VOL.
, pp. 512-518
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.L.3
Frean, M.R.4
-
29
-
-
33748435154
-
Concentration inequalities for functions of independent variables
-
DOI 10.1002/rsa.20105
-
A. Maurer Concentration inequalities for functions of independent variables Random Structures and Algorithms 29 2 2006 121 138 (Pubitemid 44342936)
-
(2006)
Random Structures and Algorithms
, vol.29
, Issue.2
, pp. 121-138
-
-
Maurer, A.1
-
31
-
-
0001035413
-
On the method of bounded differences
-
Cambridge University Press Cambridge, UK
-
C. McDiarmid On the method of bounded differences Surveys in Combinatorics 1989 Cambridge University Press Cambridge, UK 148 188
-
(1989)
Surveys in Combinatorics
, pp. 148-188
-
-
McDiarmid, C.1
-
33
-
-
41549131613
-
Evidence contrary to the statistical view of boosting with discussion
-
D. Mease, and A. Wyner Evidence contrary to the statistical view of boosting with discussion Journal of Machine Learning Research 9 2008 131 201
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 131-201
-
-
Mease, D.1
Wyner, A.2
-
39
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
R. Schapire, Y. Freund, P.L. Bartlett, and W. Lee Boosting the margin: A new explanation for the effectives of voting methods Annuals of Statistics 26 5 1998 1651 1686 (Pubitemid 128376902)
-
(1998)
Annals of Statistics
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
41
-
-
77950861838
-
Boosting through optimization of margin distributions
-
C. Shen, and H. Li Boosting through optimization of margin distributions IEEE Transactions on Neural Networks 21 4 2010 659 666
-
(2010)
IEEE Transactions on Neural Networks
, vol.21
, Issue.4
, pp. 659-666
-
-
Shen, C.1
Li, H.2
-
42
-
-
85162341958
-
Variance penalizing adaboost
-
J. Shawe-Taylor, R.S. Zemel, P.L. Bartlett, F.C.N. Pereira, K.Q. Weinberger, MIT Press Cambridge, MA
-
P.K. Shivaswamy, and T. Jebara Variance penalizing adaboost J. Shawe-Taylor, R.S. Zemel, P.L. Bartlett, F.C.N. Pereira, K.Q. Weinberger, Advances in Neural Information Processing Systems vol. 24 2011 MIT Press Cambridge, MA 1908 1916
-
(2011)
Advances in Neural Information Processing Systems
, vol.24 VOL.
, pp. 1908-1916
-
-
Shivaswamy, P.K.1
Jebara, T.2
-
44
-
-
79960142790
-
A refined margin analysis for boosting algorithms via equilibrium margin
-
L.W. Wang, M. Sugiyama, C. Yang, Z.-H. Zhou, and J. Feng A refined margin analysis for boosting algorithms via equilibrium margin Journal of Machine Learning Research 12 2011 1835 1863
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 1835-1863
-
-
Wang, L.W.1
Sugiyama, M.2
Yang, C.3
Zhou, Z.-H.4
Feng, J.5
-
46
-
-
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 Annals of Statistics 32 1 2004 56 85
-
(2004)
Annals of Statistics
, vol.32
, Issue.1
, pp. 56-85
-
-
Zhang, T.1
|