-
1
-
-
0003408496
-
-
University of California, Irvine, Dept. of Information and Computer Science
-
C.L. Blake and C.J. Merz. UCI repository of machine learning databases. http://www.ics.uci.edu/~mlearn/MLRepository.html, 1998. University of California, Irvine, Dept. of Information and Computer Science.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
-
2
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Pittsburgh, ACM
-
B. Boser, I. Guyon, and V. Vapnik. A training algorithm for optimal margin classifiers. In Proc. Fifth Annual Workshop on Computational Learning Theory, pages 144-152, Pittsburgh, ACM, 1992.
-
(1992)
Proc. Fifth Annual Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.1
Guyon, I.2
Vapnik, V.3
-
3
-
-
10044235999
-
LIBSVM: A library for support vector machines
-
C. Chang and C. Lin. LIBSVM: A library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2001.
-
(2001)
Software
-
-
Chang, C.1
Lin, C.2
-
4
-
-
0010739663
-
Filters, wrappers and a boosting-based hybrid for feature selection
-
Morgan Kauffmann
-
S. Das. Filters, wrappers and a boosting-based hybrid for feature selection. In Proc. ICML. Morgan Kauffmann, 2001.
-
(2001)
Proc. ICML.
-
-
Das, S.1
-
6
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: A statistical view of boosting. Annals of Statistics, 28:337-307, 2000.
-
(2000)
Annals of Statistics
, vol.28
, pp. 337-307
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
8
-
-
3142615000
-
-
Technical Report 02-03, Data Mining Institute, Dept. of Computer Sciences, University of Wisconsin: Madison, Sept
-
G. Fung and O.L. Mangasarian. A feature selection Newton method for support vector machine classification. Technical Report 02-03, Data Mining Institute, Dept. of Computer Sciences, University of Wisconsin: Madison, Sept 2002.
-
(2002)
A Feature Selection Newton Method for Support Vector Machine Classification
-
-
Fung, G.1
Mangasarian, O.L.2
-
9
-
-
0001219859
-
Regularization theory and neural networks architectures
-
F. Girosi, M. Jones, and T. Poggio. Regularization theory and neural networks architectures. Neural Computation, 7:219-269, 1995.
-
(1995)
Neural Computation
, vol.7
, pp. 219-269
-
-
Girosi, F.1
Jones, M.2
Poggio, T.3
-
11
-
-
84942484786
-
Ridge regression: Biased estimation for nonorthogonal problems
-
A.E. Hoerl and R. Kennard. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12:55-67, 1970.
-
(1970)
Technometrics
, vol.12
, pp. 55-67
-
-
Hoerl, A.E.1
Kennard, R.2
-
13
-
-
85146422424
-
A practical approach to feature selection
-
D. Sleeman and P. Edwards, editors. Morgan Kaufmann
-
K. Kira and L. Rendell. A practical approach to feature selection. In D. Sleeman and P. Edwards, editors, Proc. Int. Conf. on Machine Learning, pages 249-256. Morgan Kaufmann, 1992.
-
(1992)
Proc. Int. Conf. on Machine Learning
, pp. 249-256
-
-
Kira, K.1
Rendell, L.2
-
14
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi and G.H. John. Wrappers for feature subset selection. Artificial Intelligence, 97:273-324, 1997.
-
(1997)
Artificial Intelligence
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
15
-
-
0027842081
-
Matching pursuit with time-frequency dictionaries
-
S. Mallat and Z. Zhang. Matching pursuit with time-frequency dictionaries. IEEE Transactions on Signal Processing, 41(12):3397-3415, 1993.
-
(1993)
IEEE Transactions on Signal Processing
, vol.41
, Issue.12
, pp. 3397-3415
-
-
Mallat, S.1
Zhang, Z.2
-
16
-
-
0002550596
-
Functional gradient techniques for combining hypotheses
-
A.J. Smola, P.L Bartlett, B. Scölkopf, and D. Schuurmans, editors, MIT Press
-
L. Mason, J. Baxter, P.L. Bartlett, and M. Frean. Functional gradient techniques for combining hypotheses. In A.J. Smola, P.L Bartlett, B. Scölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 221-246. MIT Press, 2000.
-
(2000)
Advances in Large Margin Classifiers
, pp. 221-246
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.L.3
Frean, M.4
-
17
-
-
0000238336
-
A simplex method for function minimization
-
J.A. Nelder and R. Mead. A simplex method for function minimization. Computer Journal, 7: 308-313, 1965.
-
(1965)
Computer Journal
, vol.7
, pp. 308-313
-
-
Nelder, J.A.1
Mead, R.2
-
18
-
-
0003474751
-
-
Cambridge University Press, 2nd edition
-
W.H. Press, S.A. Teukolsky,W.T. Vetterling, and B.P. Flannery. Numerical Recipes in C. Cambridge University Press, 2nd edition, 1992.
-
(1992)
Numerical Recipes in C
-
-
Press, W.H.1
Teukolsky, W.T.2
Vetterling, S.A.3
Flannery, B.P.4
-
19
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
R.E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3):297-336, 1999.
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
23
-
-
0001001098
-
Feature selection for SVMs
-
J. Weston, S. Mukherjee, O. Chapelle, M. Pontil, T. Poggio, and V. Vapnik. Feature selection for SVMs. Advances in Neural Information Processing Systems, 13, 2000.
-
(2000)
Advances in Neural Information Processing Systems
, vol.13
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
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