-
1
-
-
0003851811
-
Soft margins for AdaBoost
-
Royal Holloway, University of London, Egham, UK, August Submitted to Machine Learning
-
G. Rätsch, T. Onoda, and K.-R. Müller. Soft margins for AdaBoost. Technical Report NC-TR-1998-021, Department of Computer Science, Royal Holloway, University of London, Egham, UK, August 1998. Submitted to Machine Learning.
-
(1998)
Technical Report NC-TR-1998-021, Department of Computer Science
-
-
Rätsch, G.1
Onoda, T.2
Müller, K.-R.3
-
2
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Yoav Freund and Robert E Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119 - 139, 1997.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
4
-
-
0000406788
-
Solving multiclass learning problems via error-correcting output codes
-
Thomas G. Dietterich and Ghulum Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, 2:263-286, 1995.
-
(1995)
Journal of Artificial Intelligence Research
, vol.2
, pp. 263-286
-
-
Dietterich, T.G.1
Bakiri, G.2
-
5
-
-
24044435942
-
Reducing multiclass to binary: A unifying approach for margin classifiers
-
September
-
Erin L. Allwein, Robert E. Schapire, and Yoram Singer. Reducing multiclass to binary: a unifying approach for margin classifiers. J. Mach. Learn. Res., 1:113-141, September 2001.
-
(2001)
J. Mach. Learn. Res.
, vol.1
, pp. 113-141
-
-
Allwein, E.L.1
Schapire, R.E.2
Singer, Y.3
-
7
-
-
0033280008
-
Multiclass learning, boosting, and error-correcting codes
-
COLT '99 New York, NY, USA ACM
-
Venkatesan Guruswami and Amit Sahai. Multiclass learning, boosting, and error-correcting codes. In Proceedings of the twelfth annual conference on Computational learning theory, COLT '99, pages 145-155, New York, NY, USA, 1999. ACM.
-
(1999)
Proceedings of the Twelfth Annual Conference on Computational Learning Theory
, pp. 145-155
-
-
Guruswami, V.1
Sahai, A.2
-
8
-
-
31844448666
-
Unifying the error-correcting and output-code adaboost within the margin framework
-
ICML '05 New York, NY, USA ACM
-
Yijun Sun, Sinisa Todorovic, Jian Li, and Dapeng Wu. Unifying the error-correcting and output-code adaboost within the margin framework. In Proceedings of the 22nd international conference on Machine learning, ICML '05, pages 872-879, New York, NY, USA, 2005. ACM.
-
(2005)
Proceedings of the 22nd International Conference on Machine Learning
, pp. 872-879
-
-
Sun, Y.1
Todorovic, S.2
Li, J.3
Wu, D.4
-
10
-
-
15044364586
-
Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image
-
Tae-Kyun Kim and Josef Kittler. Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27:318-327, 2005.
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, pp. 318-327
-
-
Kim, T.-K.1
Kittler, J.2
-
12
-
-
33749235181
-
Locally adaptive classification piloted by uncertainty
-
ICML '06 New York, NY, USA ACM
-
Juan Dai, Shuicheng Yan, Xiaoou Tang, and James T. Kwok. Locally adaptive classification piloted by uncertainty. In Proceedings of the 23rd international conference on Machine learning, ICML '06, pages 225-232, New York, NY, USA, 2006. ACM.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning
, pp. 225-232
-
-
Dai, J.1
Yan, S.2
Tang, X.3
Kwok, J.T.4
-
15
-
-
0033281425
-
Large margin classification using the perceptron algorithm
-
10.1023/A:1007662407062
-
Yoav Freund and Robert E. Schapire. Large margin classification using the perceptron algorithm. Machine Learning, 37:277-296, 1999. 10.1023/A: 1007662407062.
-
(1999)
Machine Learning
, vol.37
, pp. 277-296
-
-
Freund, Y.1
Schapire, R.E.2
-
17
-
-
21844462365
-
Tutorial on practical prediction theory for classification
-
J. Langford. Tutorial on practical prediction theory for classification. Journal of Machine Learning Research, 6(1):273, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.6
, Issue.1
, pp. 273
-
-
Langford, J.1
-
18
-
-
85162492586
-
Multiclass boosting: Theory and algorithms
-
J. Shawe-Taylor, R.S. Zemel, P. Bartlett, F.C.N. Pereira, and K.Q. Weinberger, editors
-
Mohammad J. Saberian and Nuno Vasconcelos. Multiclass boosting: Theory and algorithms. In J. Shawe-Taylor, R.S. Zemel, P. Bartlett, F.C.N. Pereira, and K.Q. Weinberger, editors, Advances in Neural Information Processing Systems 24, pages 2124-2132. 2011.
-
(2011)
Advances in Neural Information Processing Systems
, vol.24
, pp. 2124-2132
-
-
Saberian, M.J.1
Vasconcelos, N.2
|