-
1
-
-
0034140341
-
Evaluating the generalization ability of support vector machines through the bootstrap
-
D. Anguita, A. Boni, S. Ridella, Evaluating the generalization ability of support vector machines through the bootstrap, Neural Process. Lett. 11 (1) (2000) 51-58.
-
(2000)
Neural Process. Lett.
, vol.11
, Issue.1
, pp. 51-58
-
-
Anguita, D.1
Boni, A.2
Ridella, S.3
-
2
-
-
84931307288
-
Reducing communication for distributed learning in neural networks
-
Springer, Berlin
-
P. Auer, H. Burgsteiner, W. Maass, Reducing communication for distributed learning in neural networks, in: Artificial Neural Networks - ICANN 2001, Springer, Berlin, 2002.
-
(2002)
Artificial Neural Networks - ICANN 2001
-
-
Auer, P.1
Burgsteiner, H.2
Maass, W.3
-
3
-
-
0001089823
-
Support vector clustering
-
A. Ben-Hur, D. Horn, H.T. Siegelmann, V. Vapnik, Support vector clustering, J. Mach. Learn. Res. 2 (2001) 125-137.
-
(2001)
J. Mach. Learn. Res.
, vol.2
, pp. 125-137
-
-
Ben-Hur, A.1
Horn, D.2
Siegelmann, H.T.3
Vapnik, V.4
-
4
-
-
0003408496
-
UCI repository of machine learning databases
-
University of California, Irvine, Dept. of Information and Computer Sciences
-
C. Blake, C. Merz, UCI repository of machine learning databases. University of California, Irvine, Dept. of Information and Computer Sciences 1998, http://www.ics.uci.edu/~mlearn/MLRepository.html.
-
(1998)
-
-
Blake, C.1
Merz, C.2
-
5
-
-
0346786584
-
Arcing classifiers
-
L. Breiman, Arcing classifiers, Ann. Stat. 26 (3) (1998) 801-849.
-
(1998)
Ann. Stat.
, vol.26
, Issue.3
, pp. 801-849
-
-
Breiman, L.1
-
6
-
-
0035478854
-
Random forests
-
L. Breiman, Random forests, Machine Learn. 45 (1) (2001) 5-32.
-
(2001)
Machine Learn.
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
7
-
-
0003802343
-
-
Wadsworth, California
-
L. Breiman, J. Friedman, R. Olshen, C. Stone, Classification and Regression Trees, Wadsworth, California, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
8
-
-
0003942654
-
Programming with Data: A Guide to the S Language
-
Springer, Berlin
-
J.M. Chambers, Programming with Data: a Guide to the S Language, Springer, Berlin, 1998.
-
(1998)
-
-
Chambers, J.M.1
-
9
-
-
0003710380
-
Libsvm: A library for support vector machines
-
available at
-
C.-C. Chang, C.-J. Lin, Libsvm: a library for support vector machines, 2001, available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
-
(2001)
-
-
Chang, C.-C.1
Lin, C.-J.2
-
10
-
-
0012297834
-
Optimization approaches to semisupervised learning
-
M. Ferris, O. Mangasarian, J. Pang (Eds.), Kluwer Academic Publishers, Boston
-
A. Demirez, K. Bennett, Optimization approaches to semisupervised learning, in: M. Ferris, O. Mangasarian, J. Pang (Eds.), Applications and Algorithms of Complementarity, Kluwer Academic Publishers, Boston, 2000.
-
(2000)
Applications and Algorithms of Complementarity
-
-
Demirez, A.1
Bennett, K.2
-
11
-
-
0002432565
-
Multivariate adaptive regression splines
-
J. Friedman, Multivariate adaptive regression splines, Ann. Stat. 19 (1) (1991) 1.
-
(1991)
Ann. Stat.
, vol.19
, Issue.1
, pp. 1
-
-
Friedman, J.1
-
12
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
J.H. Friedman, Greedy function approximation: A gradient boosting machine, Ann. Star. 29 (5) (2001) 1189-1202.
-
(2001)
Ann. Star.
, vol.29
, Issue.5
, pp. 1189-1202
-
-
Friedman, J.H.1
-
13
-
-
0037186544
-
Stochastic gradient boosting
-
J.H. Friedman, Stochastic gradient boosting, Comput. Star. Data Anal. 38 (4) (2002) 367-378.
-
(2002)
Comput. Star. Data Anal.
, vol.38
, Issue.4
, pp. 367-378
-
-
Friedman, J.H.1
-
14
-
-
0242288903
-
Benchmarking least squares support vector machine classifiers
-
to appear
-
T.V. Gestel, J. Suykens, B. Baesens, S. Viaene, J. Vanthienen, G. Dedene, B.D. Moor, J. Vandewalle, Benchmarking least squares support vector machine classifiers, Mach. Learn. 2004, to appear.
-
(2004)
Mach. Learn.
-
-
Gestel, T.V.1
Suykens, J.2
Baesens, B.3
Viaene, S.4
Vanthienen, J.5
Dedene, G.6
Moor, B.D.7
Vandewalle, J.8
-
15
-
-
0033702673
-
A new multi-class svm based on a uniform convergence result
-
S.-I. Amari, C. Giles, M. Gori, V. Piuri (Eds.), Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks IJCNN 2000, Los Alamitos, IEEE Computer Society
-
Y. Guermeur, A. Eliseeff, H. PaugamMoisy, A new multi-class svm based on a uniform convergence result, in: S.-I. Amari, C. Giles, M. Gori, V. Piuri (Eds.), Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks IJCNN 2000, Los Alamitos, IEEE Computer Society, 2000, pp. IV-183-IV-188.
-
(2000)
-
-
Guermeur, Y.1
Eliseeff, A.2
PaugamMoisy, H.3
-
16
-
-
0003684449
-
The Elements of Statistical Learning
-
Springer, Berlin
-
T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning, Springer, Berlin, 2001.
-
(2001)
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
17
-
-
0003035079
-
Bayes point machines: Estimating the bayes point in kernel space
-
R. Herbrich, T. Graepel, C. Campbell, Bayes point machines: estimating the bayes point in kernel space, Proceedings of IJCAI Workshop Support Vector Machines, 1999, pp. 23-27.
-
(1999)
Proceedings of IJCAI Workshop Support Vector Machines
, pp. 23-27
-
-
Herbrich, R.1
Graepel, T.2
Campbell, C.3
-
18
-
-
0037410515
-
Double-bagging: Combining classifiers by bootstrap aggregation
-
T. Hothorn, B. Lausen, Double-bagging: combining classifiers by bootstrap aggregation. Pattern Recognition 36 (6) (2003) 1303-1309.
-
(2003)
Pattern Recognition
, vol.36
, Issue.6
, pp. 1303-1309
-
-
Hothorn, T.1
Lausen, B.2
-
19
-
-
0036505670
-
A comparison of methods for multi-class support vector machines
-
C.-W. Hsu, C.-J. Lin, A comparison of methods for multi-class support vector machines. IEEE Trans. Neural Networks 13 (2) (2002) 415-425.
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, Issue.2
, pp. 415-425
-
-
Hsu, C.-W.1
Lin, C.-J.2
-
20
-
-
0030305457
-
R: A language for data analysis and graphics
-
R. Ihaka, R. Gentleman, R: a language for data analysis and graphics, J. Comput. Graph. Stat. 5 (3) (1996) 299-314.
-
(1996)
J. Comput. Graph. Stat.
, vol.5
, Issue.3
, pp. 299-314
-
-
Ihaka, R.1
Gentleman, R.2
-
21
-
-
0029306995
-
Statlog: Comparison of classification algorithms on large real-world problems
-
R. King, C. Feng, A. Shutherland, Statlog: comparison of classification algorithms on large real-world problems, Appl. Artif. Intell. 9 (1995) 259-287.
-
(1995)
Appl. Artif. Intell.
, vol.9
, pp. 259-287
-
-
King, R.1
Feng, C.2
Shutherland, A.3
-
22
-
-
0002872346
-
Bias plus variance decomposition for zero-one loss
-
L. Saitta (Ed.), Machine Learning: Proceedings of the 13th International Conference, Morgan Kaufmann, Los Altos, CA
-
R. Kohavi, D.H. Wolpert, Bias plus variance decomposition for zero-one loss, in: L. Saitta (Ed.), Machine Learning: Proceedings of the 13th International Conference, Morgan Kaufmann, Los Altos, CA, 1996, pp. 275-283.
-
(1996)
, pp. 275-283
-
-
Kohavi, R.1
Wolpert, D.H.2
-
23
-
-
84992322729
-
Error-correcting output coding corrects bias and variance
-
S. Prieditis, S. Russell (Eds.), Machine Learning: Proceedings of the 12th International Conference, Morgan-Kaufmann, Los Altos, CA
-
E.B. Kong, T.G. Dietterich, Error-correcting output coding corrects bias and variance, in: S. Prieditis, S. Russell (Eds.), Machine Learning: Proceedings of the 12th International Conference, Morgan-Kaufmann, Los Altos, CA, 1995, pp. 313-321.
-
(1995)
, pp. 313-321
-
-
Kong, E.B.1
Dietterich, T.G.2
-
24
-
-
0012691458
-
-
Ph.D. Thesis, Technische Universität Wien, available from
-
F. Leisch, Ensemble Methods for Neural Clustering and Classification, Ph.D. Thesis, Technische Universität Wien, 1998, available from: http://www.ci.tuwien.ac.at/~leisch/papers/Leisch:1998.ps.gz.
-
(1998)
Ensemble Methods for Neural Clustering and Classification
-
-
Leisch, F.1
-
25
-
-
0242383544
-
mlbench - A collection for artificial and real-world machine learning benchmarking problems
-
R package, Version 0.5-6, available from
-
F. Leisch, E. Dimitriadou, mlbench - a collection for artificial and real-world machine learning benchmarking problems. R package, Version 0.5-6, 2001, available from http://cran.R-project.org.
-
(2001)
-
-
Leisch, F.1
Dimitriadou, E.2
-
26
-
-
0034274591
-
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
-
T.-S. Lim, W.-Y. Loh, Y.-S. Shih, A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms, Machine Learn. 40 (3) (2000) 203-228.
-
(2000)
Machine Learn.
, vol.40
, Issue.3
, pp. 203-228
-
-
Lim, T.-S.1
Loh, W.-Y.2
Shih, Y.-S.3
-
28
-
-
0242351993
-
Multiclass classification with pairwise coupled neural networks or support vector machines
-
G. Dorffner, H. Bischoff, K. Hornik (Eds.), Vienna, Springer, Berlin
-
E.N. Mayoraz, Multiclass classification with pairwise coupled neural networks or support vector machines, in: G. Dorffner, H. Bischoff, K. Hornik (Eds.), Artificial Neural Networks - ICANN 2001, Vienna, Springer, Berlin, 2001.
-
(2001)
Artificial Neural Networks - ICANN 2001
-
-
Mayoraz, E.N.1
-
29
-
-
0242351992
-
Support vector machines
-
D. Meyer, Support vector machines, R News 1(3) (2001) 23-26. http://CRAN.R-project.org/doc/Rnews/.
-
(2001)
R News
, vol.1
, Issue.3
, pp. 23-26
-
-
Meyer, D.1
-
30
-
-
0003612091
-
-
Ellis Horwood, Chichester, UK
-
D. Michie, D.J. Spiegelhalter, C.C. Taylor, Machine Learning, Neural and Statistical Classification, Ellis Horwood, Chichester, UK, 1994.
-
(1994)
Machine Learning, Neural and Statistical Classification
-
-
Michie, D.1
Spiegelhalter, D.J.2
Taylor, C.C.3
-
31
-
-
0001854616
-
Assessing relevance determination methods using delve generalization in neural networks and machine teaming
-
C. Bishop (Ed.), Springer, Berlin
-
R. Neal, Assessing relevance determination methods using delve generalization in neural networks and machine teaming, in: C. Bishop (Ed.), Neural Networks and Machine Learning, Springer, Berlin, 1998.
-
(1998)
Neural Networks and Machine Learning
-
-
Neal, R.1
-
32
-
-
0342502195
-
Soft margins for adaboost
-
T. Onoda, G. Rätsch, K.-R. Müller, Soft margins for adaboost, Mach. Learn. 42 (3) (2001) 287-320.
-
(2001)
Mach. Learn.
, vol.42
, Issue.3
, pp. 287-320
-
-
Onoda, T.1
Rätsch, G.2
Müller, K.-R.3
-
33
-
-
0004042460
-
Proben1 - A set of neural network benchmark problems and benchmarking rules
-
Fakultaet fuer Informatik, Universitaet Karlsruhe, Germany, available from ftp://ftp.ira.uka.de/pub/papers/techreports/1994/1994-21.ps.gz
-
L. Prechelt, Proben1 - a set of neural network benchmark problems and benchmarking rules, Fakultaet fuer Informatik, Universitaet Karlsruhe, Germany, 1994, available from ftp://ftp.ira.uka.de/pub/papers/techreports/1994/1994-21.ps.gz.
-
(1994)
-
-
Prechelt, L.1
-
34
-
-
0029412003
-
Some notes on neural learning algorithm benchmarking
-
L. Prechelt, Some notes on neural learning algorithm benchmarking, Neurocomputing 9 (3) (1995) 343-347.
-
(1995)
Neurocomputing
, vol.9
, Issue.3
, pp. 343-347
-
-
Prechelt, L.1
-
35
-
-
0141556295
-
Incremental support vector machine learning: A local approach
-
G. Dorffner, H. Bischoff, K. Hornik (Eds.), Vienna, Springer, Berlin
-
L. Ralaivola, F. d'Alché Buc, Incremental support vector machine learning: a local approach, in: G. Dorffner, H. Bischoff, K. Hornik (Eds.), Artificial Neural Networks - ICANN 2001, Vienna, Springer, Berlin, 2001.
-
(2001)
Artificial Neural Networks - ICANN 2001
-
-
Ralaivola, L.1
d'Alché Buc, F.2
-
37
-
-
84899032239
-
The relevance vector machine
-
C. San Mateo (Ed.), Morgan Kaufmann, Los Altos, CA
-
M. Tipping, The relevance vector machine, in: C. San Mateo (Ed.), Advances in Neural Information Processing Systems, Morgan Kaufmann, Los Altos, CA, 2000.
-
(2000)
Advances in Neural Information Processing Systems
-
-
Tipping, M.1
-
39
-
-
0003895851
-
-
3rd Edition, Springer, available at
-
W. Venables, B.D. Ripley, Modern Applied Statistics with S-Plus, 3rd Edition, Springer, 1996, available at http://www.stats.ox.ac.uk/pub/MASS3/.
-
(1996)
Modern Applied Statistics With S-Plus
-
-
Venables, W.1
Ripley, B.D.2
-
40
-
-
85030965834
-
A neural support vector network architecture with adaptive kernels
-
Proceedings of the Neural Information Processing Systems (NIPS) Conference
-
P. Vincent, Y. Bengio, A neural support vector network architecture with adaptive kernels, Proceedings of the Neural Information Processing Systems (NIPS) Conference, 2001.
-
(2001)
-
-
Vincent, P.1
Bengio, Y.2
-
41
-
-
0003425673
-
Multi-class support vector machines
-
Technical Report CSD-TR-98-04, Department of Computer Science, Royal Holloway, University of London, Egham, TW20 0EX, UK
-
J. Weston, C. Watkins, Multi-class support vector machines, Technical Report CSD-TR-98-04, Department of Computer Science, Royal Holloway, University of London, Egham, TW20 0EX, UK, 1998.
-
(1998)
-
-
Weston, J.1
Watkins, C.2
|