-
3
-
-
77952590681
-
On the feature selection criterion based on an approximation of multidimensional mutual information
-
Balagani K, Phoha V (2010) On the feature selection criterion based on an approximation of multidimensional mutual information. IEEE Trans Pattern Anal Mach Intell 32(7): 1342-1343.
-
(2010)
IEEE Trans Pattern Anal Mach Intell
, vol.32
, Issue.7
, pp. 1342-1343
-
-
Balagani, K.1
Phoha, V.2
-
4
-
-
0028468293
-
Using mutual information for selecting features in supervised neural net learning
-
Battiti R (1994) Using mutual information for selecting features in supervised neural net learning. IEEE Trans Neural Netw 5(4): 537-550.
-
(1994)
IEEE Trans Neural Netw
, vol.5
, Issue.4
, pp. 537-550
-
-
Battiti, R.1
-
5
-
-
0346936077
-
The co-information lattice
-
Bell AJ (2003) The co-information lattice. Analysis pp 921-926.
-
(2003)
Analysis
, pp. 921-926
-
-
Bell, A.J.1
-
6
-
-
0034324043
-
A formalism for relevance and its application in feature subset selection
-
Bell DA, Wang H (2000) A formalism for relevance and its application in feature subset selection. Mach Learn 41(2): 175-195.
-
(2000)
Mach Learn
, vol.41
, Issue.2
, pp. 175-195
-
-
Bell, D.A.1
Wang, H.2
-
9
-
-
50549092368
-
Feature selection, mutual information, and the classification of high-dimensional patterns: applications to image classification and microarray data analysis
-
Bonev B, Escolano F, Cazorla M (2008) Feature selection, mutual information, and the classification of high-dimensional patterns: applications to image classification and microarray data analysis. Pattern Anal Appl 11(3-4): 309-319.
-
(2008)
Pattern Anal Appl
, vol.11
, Issue.3-4
, pp. 309-319
-
-
Bonev, B.1
Escolano, F.2
Cazorla, M.3
-
10
-
-
84863403768
-
Conditional likelihood maximisation: a unifying framework for information theoretic feature selection
-
Brown G, Pocock A, Zhao MJ, Luján M (2012) Conditional likelihood maximisation: a unifying framework for information theoretic feature selection. J Mach Learn Res 13: 27-66.
-
(2012)
J Mach Learn Res
, vol.13
, pp. 27-66
-
-
Brown, G.1
Pocock, A.2
Zhao, M.J.3
Luján, M.4
-
12
-
-
79954439038
-
Conditional mutual information-based feature selection analyzing for synergy and redundancy
-
Cheng H, Qin Z, Feng C, Wang Y, Li F (2011) Conditional mutual information-based feature selection analyzing for synergy and redundancy. Electron Telecommun Res Inst 33(2): 210-218.
-
(2011)
Electron Telecommun Res Inst
, vol.33
, Issue.2
, pp. 210-218
-
-
Cheng, H.1
Qin, Z.2
Feng, C.3
Wang, Y.4
Li, F.5
-
13
-
-
13844298045
-
Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information
-
Chow T, Huang D (2005) Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information. IEEE Trans Neural Netw 16(1): 213-224.
-
(2005)
IEEE Trans Neural Netw
, vol.16
, Issue.1
, pp. 213-224
-
-
Chow, T.1
Huang, D.2
-
16
-
-
34047182490
-
Filter methods
-
Springer, Heidelberg, chap 3
-
Duch W (2006) Filter methods. In: Feature extraction, foundations and applications, studies in fuzziness and soft computing, vol 207, Springer, Heidelberg, chap 3, pp 167-185.
-
(2006)
Feature extraction, foundations and applications, studies in fuzziness and soft computing
, vol.207
, pp. 167-185
-
-
Duch, W.1
-
18
-
-
0038486418
-
A niching genetic algorithm for selecting features for neural networks classifiers
-
Springer, New York
-
Estévez PA, Caballero R (1998) A niching genetic algorithm for selecting features for neural networks classifiers. In: Perspectives in neural computation, Springer, New York, pp 311-316.
-
(1998)
Perspectives in neural computation
, pp. 311-316
-
-
Estévez, P.A.1
Caballero, R.2
-
19
-
-
60849097547
-
Normalized mutual information feature selection
-
Estévez PA, Tesmer M, Pérez CA, Zurada JM (2009) Normalized mutual information feature selection. IEEE Trans Neural Netw 20(2): 189-201.
-
(2009)
IEEE Trans Neural Netw
, vol.20
, Issue.2
, pp. 189-201
-
-
Estévez, P.A.1
Tesmer, M.2
Pérez, C.A.3
Zurada, J.M.4
-
20
-
-
0028273691
-
Relations between entropy and error probability
-
Feder M, Merhav N (1994) Relations between entropy and error probability. IEEE Trans Inform Theory 40(1): 259-266.
-
(1994)
IEEE Trans Inform Theory
, vol.40
, Issue.1
, pp. 259-266
-
-
Feder, M.1
Merhav, N.2
-
21
-
-
33645690579
-
Fast binary feature selection with conditional mutual information
-
Fleuret F, Guyon I (2004) Fast binary feature selection with conditional mutual information. J Mach Learn Res 5: 1531-1555.
-
(2004)
J Mach Learn Res
, vol.5
, pp. 1531-1555
-
-
Fleuret, F.1
Guyon, I.2
-
22
-
-
58149114589
-
Gait feature subset selection by mutual information
-
Guo B, Nixon MS (2009) Gait feature subset selection by mutual information. Syst Man Cybern Part A IEEE Trans 39(1): 36-46.
-
(2009)
Syst Man Cybern Part A IEEE Trans
, vol.39
, Issue.1
, pp. 36-46
-
-
Guo, B.1
Nixon, M.S.2
-
23
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3: 1157-1182.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
24
-
-
34047113813
-
An introduction to feature extraction
-
Springer, Berlin
-
Guyon I, Elisseeff A (2006) An introduction to feature extraction. In: Feature extraction, foundations and applications, studies in fuzziness and soft computing, vol 207, Springer, Berlin, pp 1-25.
-
(2006)
Feature extraction, foundations and applications, studies in fuzziness and soft computing
, vol.207
, pp. 1-25
-
-
Guyon, I.1
Elisseeff, A.2
-
25
-
-
42049098480
-
Causal feature selection
-
In: Liu H, Motoda H (eds), Chapman & Hall/CRC, chap 4
-
Guyon I, Aliferis C, Elisseeff A (2008) Causal feature selection. In: Liu H, Motoda H (eds) Computational methods of feature selection, Chapman & Hall/CRC, chap 4.
-
(2008)
Computational methods of feature selection
-
-
Guyon, I.1
Aliferis, C.2
Elisseeff, A.3
-
26
-
-
84915005479
-
Probability of error, equivocation, and the chernoff bound
-
Hellman M, Raviv J (1970) Probability of error, equivocation, and the chernoff bound. IEEE Trans Inform Theory 16(4): 368-372.
-
(1970)
IEEE Trans Inform Theory
, vol.16
, Issue.4
, pp. 368-372
-
-
Hellman, M.1
Raviv, J.2
-
28
-
-
0242662174
-
Dimensionality reduction in automatic knowledge acquisition: a simple greedy search approach
-
Huang S (2003) Dimensionality reduction in automatic knowledge acquisition: a simple greedy search approach. IEEE Trans Knowl Data Eng 15(6): 1364-1373.
-
(2003)
IEEE Trans Knowl Data Eng
, vol.15
, Issue.6
, pp. 1364-1373
-
-
Huang, S.1
-
30
-
-
85013679633
-
Quantifying and visualizing attribute interactions
-
Jakulin A, Bratko I (2003) Quantifying and visualizing attribute interactions. CoRR cs. AI/0308002, http://arxiv. org/abs/cs. AI/0308002.
-
(2003)
CoRR cs. AI/0308002
-
-
Jakulin, A.1
Bratko, I.2
-
31
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi R, John GH (1997) Wrappers for feature subset selection. Artif Intell 97(1-2): 273-324.
-
(1997)
Artif Intell
, vol.97
, Issue.1-2
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
32
-
-
19044391788
-
Relevance measures for subset variable selection in regression problems based on k-additive mutual information
-
Kojadinovic I (2005) Relevance measures for subset variable selection in regression problems based on k-additive mutual information. Comput Stat Data Anal 49(4): 1205-1227.
-
(2005)
Comput Stat Data Anal
, vol.49
, Issue.4
, pp. 1205-1227
-
-
Kojadinovic, I.1
-
37
-
-
0036127473
-
Input feature selection for classification problems
-
Kwak N, Choi CH (2002) Input feature selection for classification problems. IEEE Trans Neural Netw 13(1): 143-159.
-
(2002)
IEEE Trans Neural Netw
, vol.13
, Issue.1
, pp. 143-159
-
-
Kwak, N.1
Choi, C.H.2
-
38
-
-
34547481968
-
Embedded methods
-
Springer, Berlin, chap 5
-
Lal KN, Chapelle O, Weston J, Elisseeff A (2006) Embedded methods. In: Feature extraction, foundations and applications, studies in fuzziness and soft computing, vol 207, Springer, Berlin, chap 5, pp 167-185.
-
(2006)
Feature extraction, foundations and applications, studies in fuzziness and soft computing
, vol.207
, pp. 167-185
-
-
Lal, K.N.1
Chapelle, O.2
Weston, J.3
Elisseeff, A.4
-
39
-
-
0002312061
-
Feature selection and feature extraction for text categorization
-
Morgan Kaufmann
-
Lewis DD (1992) Feature selection and feature extraction for text categorization. In: Proceedings of speech and natural language workshop, Morgan Kaufmann, pp 212-217.
-
(1992)
Proceedings of speech and natural language workshop
, pp. 212-217
-
-
Lewis, D.D.1
-
40
-
-
33745869477
-
Conditional infomax learning: an integrated framework for feature extraction and fusion
-
Springer, Berlin
-
Lin D, Tang X (2006) Conditional infomax learning: an integrated framework for feature extraction and fusion. In: Computer vision-ECCV 2006, Lecture Notes in Computer Science, vol 3951, Springer, Berlin, pp 68-82.
-
(2006)
Computer vision-ECCV 2006, Lecture Notes in Computer Science
, vol.3951
, pp. 68-82
-
-
Lin, D.1
Tang, X.2
-
41
-
-
84914813506
-
On the effectiveness of receptors in recognition systems
-
Marill T, Green D (1963) On the effectiveness of receptors in recognition systems. IEEE Trans Inform Theory 9(1): 11-17.
-
(1963)
IEEE Trans Inform Theory
, vol.9
, Issue.1
, pp. 11-17
-
-
Marill, T.1
Green, D.2
-
42
-
-
0002801737
-
Multivariate information transmission
-
McGill W (1954) Multivariate information transmission. Psychometrika 19(2): 97-116.
-
(1954)
Psychometrika
, vol.19
, Issue.2
, pp. 97-116
-
-
McGill, W.1
-
43
-
-
47049102021
-
Information-theoretic feature selection in microarray data using variable complementarity
-
Meyer P, Schretter C, Bontempi G (2008) Information-theoretic feature selection in microarray data using variable complementarity. IEEE J Sel Top Signal Process 2(3): 261-274.
-
(2008)
IEEE J Sel Top Signal Process
, vol.2
, Issue.3
, pp. 261-274
-
-
Meyer, P.1
Schretter, C.2
Bontempi, G.3
-
44
-
-
79957858309
-
Feature selection based on inference correlation
-
Mo D, Huang SH (2011) Feature selection based on inference correlation. Intell Data Anal 15(3): 375-398.
-
(2011)
Intell Data Anal
, vol.15
, Issue.3
, pp. 375-398
-
-
Mo, D.1
Huang, S.H.2
-
45
-
-
82155192307
-
Fractal-based intrinsic dimension estimation and its application in dimensionality reduction
-
Mo D, Huang SH (2012) Fractal-based intrinsic dimension estimation and its application in dimensionality reduction. IEEE Trans Knowl Data Eng 24(1): 59-71.
-
(2012)
IEEE Trans Knowl Data Eng
, vol.24
, Issue.1
, pp. 59-71
-
-
Mo, D.1
Huang, S.H.2
-
46
-
-
24344458137
-
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
-
Peng H, Long F, Ding C (2005) Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8): 1226-1238.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, Issue.8
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
48
-
-
0026120032
-
Small sample size effects in statistical pattern recognition: recommendations for practitioners
-
Raudys S, Jain A (1991) Small sample size effects in statistical pattern recognition: recommendations for practitioners. IEEE Trans Pattern Anal Mach Intell 13(3): 252-264.
-
(1991)
IEEE Trans Pattern Anal Mach Intell
, vol.13
, Issue.3
, pp. 252-264
-
-
Raudys, S.1
Jain, A.2
-
49
-
-
35748932917
-
A review of feature selection techniques in bioinformatics
-
Saeys Y, Inza I, Larranaga P (2007) A review of feature selection techniques in bioinformatics. Bioinformatics 23(19): 2507-2517.
-
(2007)
Bioinformatics
, vol.23
, Issue.19
, pp. 2507-2517
-
-
Saeys, Y.1
Inza, I.2
Larranaga, P.3
-
50
-
-
0036532821
-
A hybrid filter/wrapper approach of feature selection using information theory
-
Sebban M, Nock R (2002) A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recogn 35(4): 835-846.
-
(2002)
Pattern Recogn
, vol.35
, Issue.4
, pp. 835-846
-
-
Sebban, M.1
Nock, R.2
-
51
-
-
79952392583
-
Variable selection: A statistical dependence perspective
-
2010 ninth international conference
-
Seth S, Príncipe J (2010) Variable selection: A statistical dependence perspective. In: Machine Learning and Applications (ICMLA), 2010 ninth international conference, pp 931-936.
-
(2010)
Machine Learning and Applications (ICMLA)
, pp. 931-936
-
-
Seth, S.1
Príncipe, J.2
-
52
-
-
84856043672
-
A mathematical theory of communication
-
625-56
-
Shannon CE (1948) A mathematical theory of communication. Bell System Technical J 27: 379-423, 625-56.
-
(1948)
Bell System Technical J
, vol.27
, pp. 379-423
-
-
Shannon, C.E.1
-
56
-
-
34047125226
-
Information-theoretic methods
-
Springer, Berlin, chap 6
-
Torkkola K (2006) Information-theoretic methods. In: Feature extraction, foundations and applications, studies in fuzziness and soft computing, vol 207, Springer, Berlin, chap 6, pp 167-185.
-
(2006)
Feature extraction, foundations and applications, studies in fuzziness and soft computing
, vol.207
, pp. 167-185
-
-
Torkkola, K.1
-
59
-
-
1642397083
-
Algorithms for large scale markov blanket discovery
-
St, AAAI Press
-
Tsamardinos I, Aliferis CF, Statnikov E (2003) Algorithms for large scale markov blanket discovery. In: The 16th international FLAIRS conference, St, AAAI Press, pp 376-380.
-
(2003)
The 16th international FLAIRS conference
, pp. 376-380
-
-
Tsamardinos, I.1
Aliferis, C.F.2
Statnikov, E.3
-
60
-
-
84891878118
-
Cmim-2: an enhanced conditional mutual information maximization criterion for feature selection
-
Vergara JR, Estévez PA (2010) Cmim-2: an enhanced conditional mutual information maximization criterion for feature selection. J Appl Comput Sci Methods 2(1): 5-20.
-
(2010)
J Appl Comput Sci Methods
, vol.2
, Issue.1
, pp. 5-20
-
-
Vergara, J.R.1
Estévez, P.A.2
-
62
-
-
0345997703
-
Information theoretical analysis of multivariate correlation
-
Watanabe S (1960) Information theoretical analysis of multivariate correlation. IBM J Res Dev 4(1): 66-82.
-
(1960)
IBM J Res Dev
, vol.4
, Issue.1
, pp. 66-82
-
-
Watanabe, S.1
-
64
-
-
0001001098
-
Feature selection for svms
-
MIT Press
-
Weston J, Mukherjee S, Chapelle O, Pontil M, Poggio T, Vapnik V (2000) Feature selection for svms. In: Advances in neural information processing systems 13, MIT Press, pp 668-674.
-
(2000)
Advances in neural information processing systems 13
, pp. 668-674
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
-
65
-
-
0015125457
-
A direct method of nonparametric measurement selection
-
Whitney A (1971) A direct method of nonparametric measurement selection. IEEE Trans Comput C-20(9): 1100-1103.
-
(1971)
IEEE Trans Comput
, vol.C-20
, Issue.9
, pp. 1100-1103
-
-
Whitney, A.1
-
67
-
-
25144492516
-
Efficient feature selection via analysis of relevance and redundancy
-
Yu L, Liu H (2004) Efficient feature selection via analysis of relevance and redundancy. J Mach Learn Res 5: 1205-1224.
-
(2004)
J Mach Learn Res
, vol.5
, pp. 1205-1224
-
-
Yu, L.1
Liu, H.2
-
68
-
-
65449184542
-
Searching for interacting features in subset selection
-
Zhao Z, Liu H (2009) Searching for interacting features in subset selection. Intell Data Anal 13(2): 207-228.
-
(2009)
Intell Data Anal
, vol.13
, Issue.2
, pp. 207-228
-
-
Zhao, Z.1
Liu, H.2
|