-
1
-
-
0031334221
-
Selection of relevant features and examples in machine learning
-
A. L. Blum and P. Langley. Selection of Relevant Features and Examples in Machine Learning. Artificial Intelligence, 97(12):245 - 271, 1997.
-
(1997)
Artificial Intelligence
, vol.97
, Issue.12
, pp. 245-271
-
-
Blum, A.L.1
Langley, P.2
-
2
-
-
0002690573
-
Selecting input variables using mutual information and nonparametric density estimation
-
B. Bonnlander and A. Weigend. Selecting input variables using mutual information and nonparametric density estimation. In Proc. 1994 Int. Symp. on Artificial Neural Networks, pages 42 - 50, 1994.
-
(1994)
Proc. 1994 Int. Symp. on Artificial Neural Networks
, pp. 42-50
-
-
Bonnlander, B.1
Weigend, A.2
-
3
-
-
34249753618
-
Support vector networks
-
C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20:273 - 297, 1995.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
5
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
-
T. Golub, D. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. Mesirov, H. Coller, M. Loh, J. Downing, M. Caligiuri, C. D. Bloomfield, and E. S. Lander. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science, 286:531 - 537, 1999.
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.1
Slonim, D.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.6
Coller, H.7
Loh, M.8
Downing, J.9
Caligiuri, M.10
Bloomfield, C.D.11
Lander, E.S.12
-
6
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
I. Guyon, J. Weston, S. Barnhill, and V. Vapnik. Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning, 46:389 - 422, 2002.
-
(2002)
Machine Learning
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
7
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi and G. John. Wrappers for Feature Subset Selection. Artificial Intelligence, 97(12):273 - 324, 1997.
-
(1997)
Artificial Intelligence
, vol.97
, Issue.12
, pp. 273-324
-
-
Kohavi, R.1
John, G.2
-
8
-
-
85118436573
-
Extracting support data for a given task
-
U. N. Fayyad and R. Uthurusamy, Menlo Park. AAAI Press
-
B. Schölkopf, C. Burges, and V. Vapnik. Extracting support data for a given task. In U. N. Fayyad and R. Uthurusamy, editors, First Int. Conf. for Knowledge Discovery and Data Mining, Menlo Park, 1995. AAAI Press.
-
(1995)
First Int. Conf. for Knowledge Discovery and Data Mining
-
-
Schölkopf, B.1
Burges, C.2
Vapnik, V.3
-
11
-
-
0032112107
-
Prediction of human intestinal absorption of drug compounds from molecular structure
-
M. D. Wessel, P. C. Jurs, J. W. Tolan, and S. M. Muskal. Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure. J. Chem. Inf. Comput. Sci., 38:726 - 735, 1998.
-
(1998)
J. Chem. Inf. Comput. Sci.
, vol.38
, pp. 726-735
-
-
Wessel, M.D.1
Jurs, P.C.2
Tolan, J.W.3
Muskal, S.M.4
-
12
-
-
84890520049
-
Use of the zero-norm with linear models and kernel methods
-
J. Weston, A. Elisseeff, B. Schölkopf, and M. Tipping. Use of the zero-norm with linear models and kernel methods. JMLR special Issue on Variable and Feature Selection, 3:1439 - 1461, 2002.
-
(2002)
JMLR Special Issue on Variable and Feature Selection
, vol.3
, pp. 1439-1461
-
-
Weston, J.1
Elisseeff, A.2
Schölkopf, B.3
Tipping, M.4
-
13
-
-
84898948710
-
Feature selection for SVMs
-
S. Solla, T. Leen, and K.-R. Müller, editors, MIT Press
-
J. Weston, S. Mukherjee, O. Chapelle, M. Pontil, T. Poggio, and V. Vapnik. Feature selection for SVMs. In S. Solla, T. Leen, and K.-R. Müller, editors, Adv. in Neural Inf. Proc. Syst. 13. MIT Press, 2001.
-
(2001)
Adv. in Neural Inf. Proc. Syst.
, vol.13
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
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