-
1
-
-
0031334221
-
Selection of relevant features and examples in machine learning
-
Blum, L.A., Langley, P., 1997. Selection of relevant features and examples in machine learning. Artificial Intell. 97, 245-271.
-
(1997)
Artificial Intell.
, vol.97
, pp. 245-271
-
-
Blum, L.A.1
Langley, P.2
-
2
-
-
0003802343
-
-
Wadsworth, Belmont, CA
-
Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J., 1984. Classification and Regression Trees. Wadsworth, Belmont, CA.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
3
-
-
0035426683
-
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
-
August
-
Casillas, J., Cordon, O., Del Jesus, M.J., Herrera, F., 2001. Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems. Informance Sci. 136 (August), 135-157.
-
(2001)
Informance Sci.
, vol.136
, pp. 135-157
-
-
Casillas, J.1
Cordon, O.2
Del Jesus, M.J.3
Herrera, F.4
-
4
-
-
0029345982
-
Class-dependent discretization for inductive learning from continuous and mixed mode data
-
Ching, J.Y., Wong, A.K.C., Chan, K.C.C., 1995. Class-dependent discretization for inductive learning from continuous and mixed mode data. IEEE Trans. Pattern Anal. Machine Intell. 17 (7), 641-651.
-
(1995)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.17
, Issue.7
, pp. 641-651
-
-
Ching, J.Y.1
Wong, A.K.C.2
Chan, K.C.C.3
-
5
-
-
34250080806
-
-
Kluwer Publishers, Boston, MA
-
Cost, S., Salzberg, S., 1993. In: A Weighted Nearest Algorithm with Symbolic FeaturesMachine Learning, vol. 10. Kluwer Publishers, Boston, MA, pp. 57-78.
-
(1993)
A Weighted Nearest Algorithm with Symbolic FeaturesMachine Learning
, vol.10
, pp. 57-78
-
-
Cost, S.1
Salzberg, S.2
-
6
-
-
0013326060
-
Feature selection for classification
-
Dash, M., Liu, H., 1997. Feature selection for classification. Intelligent Data Analysis, vol. 1, pp. 131-156.
-
(1997)
Intelligent Data Analysis
, vol.1
, pp. 131-156
-
-
Dash, M.1
Liu, H.2
-
7
-
-
0002106691
-
MetaCost - A general method to make classifier cost sensitive
-
ACM Press, San Diego, CA
-
Domingos, P., 1999. MetaCost - A general method to make classifier cost sensitive. In: Proc. Fifth Internat. Conf. Knowledge Discovery and Data Mining. ACM Press, San Diego, CA, pp. 155-164.
-
(1999)
Proc. Fifth Internat. Conf. Knowledge Discovery and Data Mining
, pp. 155-164
-
-
Domingos, P.1
-
8
-
-
85139983802
-
Supervised and unsupervised discretization of continuous features
-
Morgan Kaufmann, Tahoe City, CA
-
Dougherty, J., Kohavi, R., Sahami, M., 1995. Supervised and unsupervised discretization of continuous features. In: Proc. 12th Internat. Conf. on Machine Learning. Morgan Kaufmann, Tahoe City, CA.
-
(1995)
Proc. 12th Internat. Conf. on Machine Learning
-
-
Dougherty, J.1
Kohavi, R.2
Sahami, M.3
-
9
-
-
0003922190
-
-
John Wiley and Sons Inc.
-
Duda, R.O., Hart, P.E., Stork, D.G., 2000. Pattern Classification, second ed. John Wiley and Sons Inc.
-
(2000)
Pattern Classification, Second Ed.
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
10
-
-
0036832996
-
Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm
-
Ho, S.Y., Liu, C.C., Liu, S., 2002. Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm. Pattern Recognition Lett. 23 (13), 1495-1503.
-
(2002)
Pattern Recognition Lett.
, vol.23
, Issue.13
, pp. 1495-1503
-
-
Ho, S.Y.1
Liu, C.C.2
Liu, S.3
-
11
-
-
85099325734
-
Irrelevant features and the subset selection problem
-
Morgan Kaufmann, New Brunswick, NJ
-
John, G.H., Kohavi, R., Pfleger, K., 1994. Irrelevant features and the subset selection problem. In: Proc. 11th Internat. Conf. on Machine Learning. Morgan Kaufmann, New Brunswick, NJ, pp. 121-129.
-
(1994)
Proc. 11th Internat. Conf. on Machine Learning
, pp. 121-129
-
-
John, G.H.1
Kohavi, R.2
Pfleger, K.3
-
12
-
-
85146422424
-
A practical approach to feature selection
-
Aberdeen, Scotland
-
Kira, K., Rendell, L., 1992. A practical approach to feature selection. In: Proc. Ninth Internat. Conf. on Machine Learning. Aberdeen, Scotland, pp. 249-256.
-
(1992)
Proc. Ninth Internat. Conf. on Machine Learning
, pp. 249-256
-
-
Kira, K.1
Rendell, L.2
-
14
-
-
0031999908
-
Nearest prototype classification: Clustering, genetic algorithms or random search
-
Kuncheva, L.I., Bezdek, J.C., 1998. Nearest prototype classification: Clustering, genetic algorithms or random search. IEEE Trans. Systems Man Cybernet. C 28 (1), 160-164.
-
(1998)
IEEE Trans. Systems Man Cybernet. C
, vol.28
, Issue.1
, pp. 160-164
-
-
Kuncheva, L.I.1
Bezdek, J.C.2
-
15
-
-
0019033513
-
Pattern recognition as rule-guided inductive learning
-
Michalski, R.S., 1980. Pattern recognition as rule-guided inductive learning. IEEE Trans. Pattern Anal. Machine Intell. 2(4), 349-361.
-
(1980)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.2
, Issue.4
, pp. 349-361
-
-
Michalski, R.S.1
-
16
-
-
0017535866
-
A branch and bound algorithm for feature subset selection
-
Narendra, P.M., Fukunaga, K., 1977. A branch and bound algorithm for feature subset selection. IEEE Trans. Comput. c-26 (9), 917-922.
-
(1977)
IEEE Trans. Comput.
, vol.C-26
, Issue.9
, pp. 917-922
-
-
Narendra, P.M.1
Fukunaga, K.2
-
17
-
-
0028547556
-
Floating search methods in feature selection
-
Pudil, P., Novovicová, J., Kittler, J., 1994. Floating search methods in feature selection. Pattern Recognition Lett. 15 (11), 1119-1125.
-
(1994)
Pattern Recognition Lett.
, vol.15
, Issue.11
, pp. 1119-1125
-
-
Pudil, P.1
Novovicová, J.2
Kittler, J.3
-
18
-
-
33744584654
-
Induction of decision trees
-
Quinlan, J.R., 1986. Induction of decision trees. Machine Learning 1, 81-106.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
20
-
-
0000514544
-
Fast branch and bound algorithm in feature selection
-
Sanchez, B., Pineda, J., Wolfmann, J., Bellahsense, Z., Ferri, F. (Eds.)
-
Somol, P., Pudil, P., Ferri, F., Kittler, J., 2000. Fast branch and bound algorithm in feature selection. In: Sanchez, B., Pineda, J., Wolfmann, J., Bellahsense, Z., Ferri, F. (Eds.), World Multiconference on Systemics, Cybernetics and Informatics (SCI), Proceedings of SCI/ISAS 2000, vol. VII, pp. 646-651.
-
(2000)
World Multiconference on Systemics, Cybernetics and Informatics (SCI), Proceedings of SCI/ISAS 2000
, vol.7
, pp. 646-651
-
-
Somol, P.1
Pudil, P.2
Ferri, F.3
Kittler, J.4
-
21
-
-
0022909661
-
Towards memory based reasoning
-
Stanfill, C., Waltz, D., 1986. Towards memory based reasoning. Comm. ACM 29 (12), 1213-1228.
-
(1986)
Comm. ACM
, vol.29
, Issue.12
, pp. 1213-1228
-
-
Stanfill, C.1
Waltz, D.2
-
22
-
-
0031117899
-
A novel approach to feature selection based on analysis of class regions
-
Thawonmas, R., Abe, S., 1997. A novel approach to feature selection based on analysis of class regions. IEEE Trans Systems Man Cybernet. 27 (2), 196-207.
-
(1997)
IEEE Trans Systems Man Cybernet.
, vol.27
, Issue.2
, pp. 196-207
-
-
Thawonmas, R.1
Abe, S.2
-
23
-
-
0004204162
-
-
Morgan Kaufmann Publishers, San Francisco, California
-
Witten, I.H., Frank, E., 2000. Data Mining. Morgan Kaufmann Publishers, San Francisco, California.
-
(2000)
Data Mining
-
-
Witten, I.H.1
Frank, E.2
-
24
-
-
0033335007
-
Induction by attribute elimination
-
Wu, X., 1999. Induction by attribute elimination. IEEE Trans. Knowledge Data Eng. 11 (5), 805-812.
-
(1999)
IEEE Trans. Knowledge Data Eng.
, vol.11
, Issue.5
, pp. 805-812
-
-
Wu, X.1
-
25
-
-
0036665658
-
A hybrid approach to input selection for complex processes
-
Xiong, N., 2002. A hybrid approach to input selection for complex processes. IEEE Trans. Systems Man Cybernet. Part A 32 (4), 532-536.
-
(2002)
IEEE Trans. Systems Man Cybernet. Part A
, vol.32
, Issue.4
, pp. 532-536
-
-
Xiong, N.1
|