-
1
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
Alon U., Barkai N., Notterman D.A., Gish K., Ybarra S., Mack D., et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proceedings of the National Academy of Sciences 96 12 (1999) 6745-6750
-
(1999)
Proceedings of the National Academy of Sciences
, vol.96
, Issue.12
, pp. 6745-6750
-
-
Alon, U.1
Barkai, N.2
Notterman, D.A.3
Gish, K.4
Ybarra, S.5
Mack, D.6
-
2
-
-
0037076322
-
Selection bias in gene extraction on the basis of microarray gene-expression data
-
Ambroise C., and McLachaln G.J. Selection bias in gene extraction on the basis of microarray gene-expression data. Proceedings of the National Academy of Sciences 99 10 (2002) 6562-6566
-
(2002)
Proceedings of the National Academy of Sciences
, vol.99
, Issue.10
, pp. 6562-6566
-
-
Ambroise, C.1
McLachaln, G.J.2
-
4
-
-
40649116219
-
-
Cawley, G. C. (2006). Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs. In Proc of the international joint conference on computational neural networks
-
Cawley, G. C. (2006). Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs. In Proc of the international joint conference on computational neural networks
-
-
-
-
5
-
-
8444241860
-
Fast exact leave-one-out cross-validation of sparse least-squares support vector machines
-
Cawley G.C., and Talbot N.L. Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks 17 (2004) 1467-1475
-
(2004)
Neural Networks
, vol.17
, pp. 1467-1475
-
-
Cawley, G.C.1
Talbot, N.L.2
-
6
-
-
34247558132
-
Preventing over-fitting in model selection via bayesian regularisation of the hyper-parameters
-
Cawley G.C., and Talbot N.L.C. Preventing over-fitting in model selection via bayesian regularisation of the hyper-parameters. Journal of Machine Learning Research 8 (2007) 841-861
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 841-861
-
-
Cawley, G.C.1
Talbot, N.L.C.2
-
7
-
-
0003555195
-
-
SIAM, Philadelphia
-
Dongarra J., Bunch J., Moler C., and Stewart G. Linpack users' guide (1979), SIAM, Philadelphia
-
(1979)
Linpack users' guide
-
-
Dongarra, J.1
Bunch, J.2
Moler, C.3
Stewart, G.4
-
8
-
-
0041494125
-
Efficient svm training using low-rank kernel representations
-
Fine S., and Scheinberg K. Efficient svm training using low-rank kernel representations. Journal of Machine Learning Research 2 (2001) 243-264
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 243-264
-
-
Fine, S.1
Scheinberg, K.2
-
9
-
-
84966204836
-
Methods for modifying matrix factorizations
-
Gill P.E., Golub G.H., Murray W., and Saunders M.A. Methods for modifying matrix factorizations. Mathematics of Computation 28 126 (1974) 505-535
-
(1974)
Mathematics of Computation
, vol.28
, Issue.126
, pp. 505-535
-
-
Gill, P.E.1
Golub, G.H.2
Murray, W.3
Saunders, M.A.4
-
11
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon I., Weston J., Barnhill S., and Vapnik V. Gene selection for cancer classification using support vector machines. Machine Learning 46 (2002)
-
(2002)
Machine Learning
, vol.46
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
13
-
-
0014174684
-
An almost unbiased method for the probability of misclassification in discriminant analysis
-
Lachenbruch P. An almost unbiased method for the probability of misclassification in discriminant analysis. Biometrics 23 (1967) 639-645
-
(1967)
Biometrics
, vol.23
, pp. 639-645
-
-
Lachenbruch, P.1
-
14
-
-
51749100641
-
-
Ojeda, F., Suykens, J. A. K., & De Moor, B. (2007). Variable selection by rank-one updates for least squares support vector machines. In Proceedings of the international joint conference on neural networks
-
Ojeda, F., Suykens, J. A. K., & De Moor, B. (2007). Variable selection by rank-one updates for least squares support vector machines. In Proceedings of the international joint conference on neural networks
-
-
-
-
16
-
-
0002619965
-
Ridge regression learning algorithm in dual variables
-
Morgan Kaufmann, San Francisco, CA
-
Saunders G., Gammerman A., and Vovk V. Ridge regression learning algorithm in dual variables. Proc. 15th international conf. on machine learning (1998), Morgan Kaufmann, San Francisco, CA 515-521
-
(1998)
Proc. 15th international conf. on machine learning
, pp. 515-521
-
-
Saunders, G.1
Gammerman, A.2
Vovk, V.3
-
17
-
-
40649102829
-
-
Seeger, M. (2005). Low rank updates for the cholesky decomposition, Technical report. Tuebingen, Germany: Max Planck Society
-
Seeger, M. (2005). Low rank updates for the cholesky decomposition, Technical report. Tuebingen, Germany: Max Planck Society
-
-
-
-
18
-
-
13844281522
-
Incremental training of support vector machines
-
Shilton A., Palaniswami M., Ralph D., and Chung A. Incremental training of support vector machines. IEEE Transactions on Neural Networks 16 1 (2005) 114-131
-
(2005)
IEEE Transactions on Neural Networks
, vol.16
, Issue.1
, pp. 114-131
-
-
Shilton, A.1
Palaniswami, M.2
Ralph, D.3
Chung, A.4
-
19
-
-
0037695279
-
-
World Scientific, Singapore
-
Suykens J.A.K., Van Gestel T., De Brabanter J., De Moor B., and Vandewalle J. Least squares support vector machines (2002), World Scientific, Singapore
-
(2002)
Least squares support vector machines
-
-
Suykens, J.A.K.1
Van Gestel, T.2
De Brabanter, J.3
De Moor, B.4
Vandewalle, J.5
-
20
-
-
0032638628
-
Least squares support vector machine classifiers
-
Suykens J.A.K., and Vandewalle J. Least squares support vector machine classifiers. Neural Processing Letters 9 3 (1999) 293-300
-
(1999)
Neural Processing Letters
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
21
-
-
33645157313
-
Gene selection for microarray data based on least squares support vector machine
-
Tang E.K., Suganthan P., and Yao X. Gene selection for microarray data based on least squares support vector machine. BMC Bioinformatics 7 95 (2006)
-
(2006)
BMC Bioinformatics
, vol.7
, Issue.95
-
-
Tang, E.K.1
Suganthan, P.2
Yao, X.3
-
22
-
-
84941367932
-
Bankruptcy prediction with least squares support vector machine classifiers
-
Van Gestel T., Baesens B., Suykens J.A.K., Espinoza M., Baestaens D., Vanthienen J., et al. Bankruptcy prediction with least squares support vector machine classifiers. International conference on computational intelligence for financial enigeering 1 (2003)
-
(2003)
International conference on computational intelligence for financial enigeering
, vol.1
-
-
Van Gestel, T.1
Baesens, B.2
Suykens, J.A.K.3
Espinoza, M.4
Baestaens, D.5
Vanthienen, J.6
-
23
-
-
0242288903
-
Benchmarking least squares support vector machine classifiers
-
Van Gestel T.K., Suykens J.A.K., Baesens B., Viaene S., Vanthienen J., Dedene G., et al. Benchmarking least squares support vector machine classifiers. Machine Learning 1 (2004) 5-32
-
(2004)
Machine Learning
, Issue.1
, pp. 5-32
-
-
Van Gestel, T.K.1
Suykens, J.A.K.2
Baesens, B.3
Viaene, S.4
Vanthienen, J.5
Dedene, G.6
-
25
-
-
0034264380
-
Bounds on error expectation for support vector machines
-
Vapnik V., and Chapelle O. Bounds on error expectation for support vector machines. Neural Computation 12 9 (2000) 2013-2036
-
(2000)
Neural Computation
, vol.12
, Issue.9
, pp. 2013-2036
-
-
Vapnik, V.1
Chapelle, O.2
-
26
-
-
0035184851
-
Biomarker identification by feature wrappers
-
Xiong M., Fang X., and Zhao J. Biomarker identification by feature wrappers. Genome Research 11 (2001) 1878-1887
-
(2001)
Genome Research
, vol.11
, pp. 1878-1887
-
-
Xiong, M.1
Fang, X.2
Zhao, J.3
-
27
-
-
17444368679
-
LS bound based gene selection for DNA microarray data
-
Zhou X., and Mao K. LS bound based gene selection for DNA microarray data. Bioinformatics 21 8 (2005)
-
(2005)
Bioinformatics
, vol.21
, Issue.8
-
-
Zhou, X.1
Mao, K.2
|