-
1
-
-
0013326060
-
Feature selection for classification
-
Dash M, Liu H (1997) Feature selection for classification. Intell Data Anal 1: 131-156.
-
(1997)
Intell Data Anal
, vol.1
, pp. 131-156
-
-
Dash, M.1
Liu, H.2
-
3
-
-
79952313704
-
Genetic Algorithm-Neural Network (GANN): a study of neural network activation functions and depth of genetic algorithm search applied to feature selection
-
Tong DL, Mintram R (2010) Genetic Algorithm-Neural Network (GANN): a study of neural network activation functions and depth of genetic algorithm search applied to feature selection. Int J Mach Learn Cybern 1(1-4): 75-87.
-
(2010)
Int J Mach Learn Cybern
, vol.1
, Issue.1-4
, pp. 75-87
-
-
Tong, D.L.1
Mintram, R.2
-
4
-
-
80051989247
-
Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms
-
Boehm O, Hardoon DR, Manevitz LM (2011) Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms. Int J Mach Learn Cybern 2(3): 125-134.
-
(2011)
Int J Mach Learn Cybern
, vol.2
, Issue.3
, pp. 125-134
-
-
Boehm, O.1
Hardoon, D.R.2
Manevitz, L.M.3
-
5
-
-
84868119274
-
Null space based feature selection method for gene expression data
-
Sharma A, Imoto S, Miyano S, Sharma V (2012) Null space based feature selection method for gene expression data. Int J Mach Learn Cybern 3(4): 269-276.
-
(2012)
Int J Mach Learn Cybern
, vol.3
, Issue.4
, pp. 269-276
-
-
Sharma, A.1
Imoto, S.2
Miyano, S.3
Sharma, V.4
-
6
-
-
63749121988
-
Margin-based feature selection for hyperspectral data
-
Pal M (2009) Margin-based feature selection for hyperspectral data. Int J Appl Earth Observ Geoinf 11: 212-220.
-
(2009)
IntJ Appl Earth Observ Geoinf
, vol.11
, pp. 212-220
-
-
Pal, M.1
-
8
-
-
42949143535
-
Fault detection and identification with a new feature selection based on mutual information
-
Verron S, Tiplica T, Kobi A (2008) Fault detection and identification with a new feature selection based on mutual information. J Process Control 5: 479-490.
-
(2008)
J Process Control
, vol.5
, pp. 479-490
-
-
Verron, S.1
Tiplica, T.2
Kobi, A.3
-
11
-
-
0242302657
-
Consistency-based search in feature selection
-
Dash M, Liu H (2003) Consistency-based search in feature selection. Artif Intell 11: 155-176.
-
(2003)
Artif Intell
, vol.11
, pp. 155-176
-
-
Dash, M.1
Liu, H.2
-
12
-
-
67149088596
-
Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy
-
Wang X, Dong C (2009) Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst 17(3): 556-567.
-
(2009)
IEEE Trans Fuzzy Syst
, vol.17
, Issue.3
, pp. 556-567
-
-
Wang, X.1
Dong, C.2
-
13
-
-
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: 1226-1238.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
14
-
-
12144251725
-
Effective feature selection scheme using mutual information
-
Huang D, Chow TWS (2005) Effective feature selection scheme using mutual information. Neurocomputing 63: 325-343.
-
(2005)
Neurocomputing
, vol.63
, pp. 325-343
-
-
Huang, D.1
Chow, T.W.S.2
-
15
-
-
0001765951
-
A direct LDA algorithm for high-dimensional data-with application to face recognition
-
Yu H, Yang J (2001) A direct LDA algorithm for high-dimensional data-with application to face recognition. Pattern Recognit 34: 2067-2070.
-
(2001)
Pattern Recognit
, vol.34
, pp. 2067-2070
-
-
Yu, H.1
Yang, J.2
-
16
-
-
0019608020
-
On an extended Fisher criterion for feature selection
-
Witold M (1981) On an extended Fisher criterion for feature selection. IEEE Trans Pattern Anal Mach Intell 5: 611-614.
-
(1981)
IEEE Trans Pattern Anal Mach Intell
, vol.5
, pp. 611-614
-
-
Witold, M.1
-
18
-
-
79954417238
-
Boundary instance selection based on neighborhood model
-
He Q, Xie Z, Hu Q, Wu C (2011) Boundary instance selection based on neighborhood model. Neurocomputing 10: 1585-1594.
-
(2011)
Neurocomputing
, vol.10
, pp. 1585-1594
-
-
He, Q.1
Xie, Z.2
Hu, Q.3
Wu, C.4
-
19
-
-
84863463582
-
Maximum ambiguity based sample selection in fuzzy decision tree induction
-
Wang X, Dong L, Yan J (2012) Maximum ambiguity based sample selection in fuzzy decision tree induction. IEEE Trans Knowl Data Eng 24(8): 1491-1505.
-
(2012)
IEEE Trans Knowl Data Eng
, vol.24
, Issue.8
, pp. 1491-1505
-
-
Wang, X.1
Dong, L.2
Yan, J.3
-
20
-
-
45649085354
-
Induction of multiple fuzzy decision trees based on rough set technique
-
Wang X, Zhai J, Lu S (2008) Induction of multiple fuzzy decision trees based on rough set technique. Inf Sci 178(16): 3188-3202.
-
(2008)
Inf Sci
, vol.178
, Issue.16
, pp. 3188-3202
-
-
Wang, X.1
Zhai, J.2
Lu, S.3
-
21
-
-
84890447445
-
Variable selection using SVM-based criteria
-
Rakotomamonjy A (2003) Variable selection using SVM-based criteria. J Mach Learn Res 3: 1357-1370.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1357-1370
-
-
Rakotomamonjy, A.1
-
23
-
-
34247622378
-
Iterative RELIEF for feature weighting: algorithms, theories, and applications
-
Sun Y. (2007) Iterative RELIEF for feature weighting: algorithms, theories, and applications. IEEE Trans Pattern Anal Mach Intell 6: 1-17.
-
(2007)
IEEE Trans Pattern Anal Mach Intell
, vol.6
, pp. 1-17
-
-
Sun, Y.1
-
25
-
-
0002094343
-
Generalization performance of support vector machines and other pattern classifiers
-
MIT Press, Cambridge
-
Bartlett PL, Shawe-Taylor J (1999) Generalization performance of support vector machines and other pattern classifiers. In: Advances in Kernel methods: support vector learning. MIT Press, Cambridge, pp 43-54.
-
(1999)
Advances in Kernel methods: Support vector learning
, pp. 43-54
-
-
Bartlett, P.L.1
Shawe-Taylor, J.2
-
26
-
-
67349250195
-
Feature selection based on loss-margin of nearest neighbor classification
-
Li Y, Lu B (2009) Feature selection based on loss-margin of nearest neighbor classification. Pattern Recognit 42: 1914-1921.
-
(2009)
Pattern Recognit
, vol.42
, pp. 1914-1921
-
-
Li, Y.1
Lu, B.2
-
27
-
-
70349303676
-
Large margin feature weighting method via linear programming
-
Chen B, Liu H, Chai J, Bao Z (2009) Large margin feature weighting method via linear programming. IEEE Trans Knowl Data Eng 10: 1475-1486.
-
(2009)
IEEE Trans Knowl Data Eng
, vol.10
, pp. 1475-1486
-
-
Chen, B.1
Liu, H.2
Chai, J.3
Bao, Z.4
-
28
-
-
78650231105
-
Large-margin nearest neighbor classifiers via sample weight learning
-
Hu Q, Zhu P, Yang Y, Yu D (2011) Large-margin nearest neighbor classifiers via sample weight learning. Neurocomputing 7: 656-660.
-
(2011)
Neurocomputing
, vol.7
, pp. 656-660
-
-
Hu, Q.1
Zhu, P.2
Yang, Y.3
Yu, D.4
-
30
-
-
65349190055
-
On surrogate loss functions and f-divergences
-
Nguyen X, Wainwright MJ, Jordan MI (2009) On surrogate loss functions and f-divergences. Ann Stat 2: 876-904.
-
(2009)
Ann Stat
, vol.2
, pp. 876-904
-
-
Nguyen, X.1
Wainwright, M.J.2
Jordan, M.I.3
-
31
-
-
50849110153
-
Analysis of boosting algorithms using the smooth margin function
-
Rudin C, Schapire RE, Daubechies I (2007) Analysis of boosting algorithms using the smooth margin function. Ann Stat 6: 2723-2768.
-
(2007)
Ann Stat
, vol.6
, pp. 2723-2768
-
-
Rudin, C.1
Schapire, R.E.2
Daubechies, I.3
-
32
-
-
0035371148
-
An adaptive version of the boost by majority algorithm
-
Freund Y (2001) An adaptive version of the boost by majority algorithm. Int Conf Mach Learn 43: 293-318.
-
(2001)
Int Conf Mach Learn
, vol.43
, pp. 293-318
-
-
Freund, Y.1
-
33
-
-
0034164230
-
Additive logistic regression: a statistical view of boosting
-
Friedman JH, Hastie T, Tibshirani R (2000) Additive logistic regression: a statistical view of boosting. Ann Stat 28: 337-407.
-
(2000)
Ann Stat
, vol.28
, pp. 337-407
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
34
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Knowl Discov Data Min 2: 121-167.
-
(1998)
Knowl Discov Data Min
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
38
-
-
0034164230
-
Additive logistic regression: a statistical view of boosting (with discussion)
-
Friedman JH, Hastie T, Tibshirani R (2000) Additive logistic regression: a statistical view of boosting (with discussion). Ann Stat 28: 337-407.
-
(2000)
Ann Stat
, vol.28
, pp. 337-407
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
39
-
-
1542680908
-
Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost
-
Romero E, Marquez L, Carreras X (2004) Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost. Neurocomputing 57: 313-344.
-
(2004)
Neurocomputing
, vol.57
, pp. 313-344
-
-
Romero, E.1
Marquez, L.2
Carreras, X.3
-
41
-
-
84901351454
-
Automatic feature extraction via weighted Kernels and regularization
-
(to appear)
-
Allen GI (2012) Automatic feature extraction via weighted Kernels and regularization. J Comput Graph Stat (to appear).
-
(2012)
J Comput Graph Stat
-
-
Allen, G.I.1
-
42
-
-
40249089904
-
Stepwise feature selection using generalized logistic loss
-
Parka C, Koob JY, Kimc PT, Leeb JW (2008) Stepwise feature selection using generalized logistic loss. Comput Stat Data Anal 52(7): 3709-3718.
-
(2008)
Comput Stat Data Anal
, vol.52
, Issue.7
, pp. 3709-3718
-
-
Parka, C.1
Koob, J.Y.2
Kimc, P.T.3
Leeb, J.W.4
-
43
-
-
61749090884
-
Distance metric learning for large margin nearest neighbor classification
-
Weinberger KQ, Blitzer J, Saul LK (2009) Distance metric learning for large margin nearest neighbor classification. J Mach Learn Res 10: 207-244.
-
(2009)
J Mach Learn Res
, vol.10
, pp. 207-244
-
-
Weinberger, K.Q.1
Blitzer, J.2
Saul, L.K.3
-
45
-
-
64149088421
-
On the consistency of feature selection using Greedy least squares regression
-
Zhang T (2009) On the consistency of feature selection using Greedy least squares regression. J Mach Learn Res 10: 555-568.
-
(2009)
J Mach Learn Res
, vol.10
, pp. 555-568
-
-
Zhang, T.1
-
47
-
-
33645427310
-
-
Weston J, Mukherjee S, Chapelle O, Pontil M, Poggio T, Vapnik V (2000) Feature selection for SVMs, ICML.
-
(2000)
Feature selection for SVMs, ICML
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
-
48
-
-
50649114155
-
Gradient feature selection for online boosting
-
Gen. Electr, Global Res. Niskayuna
-
Liu X, Yu T, Gen. Electr, Global Res. Niskayuna (2007) Gradient feature selection for online boosting. IEEE 11th international conference on computer vision, pp 1-8.
-
(2007)
IEEE 11th international conference on computer vision
, pp. 1-8
-
-
Liu, X.1
Yu, T.2
-
49
-
-
0031269184
-
On the optimality of the simple Bayesian classifier under zero-one loss
-
Domingos P, Pazzani M (1997) On the optimality of the simple Bayesian classifier under zero-one loss. Mach Learn 29: 103-130.
-
(1997)
Mach Learn
, vol.29
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
50
-
-
0001868572
-
Text categorization based on regularized linear classification methods
-
Zhang T, Oles FJ (2001) Text categorization based on regularized linear classification methods. Inf Retriev 4: 5-31.
-
(2001)
Inf Retriev
, vol.4
, pp. 5-31
-
-
Zhang, T.1
Oles, F.J.2
-
51
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 2: 121-167.
-
(1998)
Data Min Knowl Discov
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
52
-
-
0035479871
-
SSVM: a smooth support vector machine for classification
-
Lee Y-J, Mangasarian OL (2001) SSVM: a smooth support vector machine for classification. Comput Optim Appl 1: 320-344.
-
(2001)
Comput Optim Appl
, vol.1
, pp. 320-344
-
-
Lee, Y.-J.1
Mangasarian, O.L.2
-
54
-
-
61549128441
-
Robust face recognition via sparse representation
-
Wright J, Yang AY, Ganesh A, Shankar Sastry S, Ma Y (2009) Robust face recognition via sparse representation. IEEE Trans Pattern Anal Mach Intell 2: 210-227.
-
(2009)
IEEE Trans Pattern Anal Mach Intell
, vol.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Shankar Sastry, S.4
Ma, Y.5
-
55
-
-
77956456333
-
Sparse ensembles using weighted combination methods based on linear programming
-
Zhang L, Zhou WD (2011) Sparse ensembles using weighted combination methods based on linear programming. Pattern Recognit 1: 97-106.
-
(2011)
Pattern Recognit
, vol.1
, pp. 97-106
-
-
Zhang, L.1
Zhou, W.D.2
-
57
-
-
1942418470
-
Grafting: fast incremental feature selection by gradient descent in function space
-
Perkins S, Lacker K, Theiler J (2003) Grafting: fast incremental feature se- lection by gradient descent in function space. J Mach Learn Res 3: 1333-1356.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1333-1356
-
-
Perkins, S.1
Lacker, K.2
Theiler, J.3
-
61
-
-
0034680102
-
Molecular portraits of human breast tumours
-
Perou CM, Solie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406: 747-752.
-
(2000)
Nature
, vol.406
, pp. 747-752
-
-
Perou, C.M.1
Solie, T.2
Eisen, M.B.3
-
62
-
-
0034598746
-
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
-
Alizadeh A et al (2000) Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 405: 503-511.
-
(2000)
Nature
, vol.405
, pp. 503-511
-
-
Alizadeh, A.1
-
63
-
-
18544365698
-
Gene-expression profiles predict survival of patients with lung adenocarcinoma
-
Beer DG, Kardia SLR, Huang CC et al (2008) Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nat Med 8: 816-824.
-
(2008)
Nat Med
, vol.8
, pp. 816-824
-
-
Beer, D.G.1
Kardia, S.L.R.2
Huang, C.C.3
-
64
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
Khan J, Weil JS, Ringner M, Saall LH, Ladanyi M et al (2001) Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat Med 7: 673-679.
-
(2001)
Nat Med
, vol.7
, pp. 673-679
-
-
Khan, J.1
Weil, J.S.2
Ringner, M.3
Saall, L.H.4
Ladanyi, M.5
-
65
-
-
84992726552
-
Estimating attributes: analysis and extensions of RELIEF
-
Kononenko I (1994) Estimating attributes: analysis and extensions of RELIEF. Eur Conf Mach Learn, 171-182.
-
(1994)
Eur Conf Mach Learn
, pp. 171-182
-
-
Kononenko, I.1
|