-
4
-
-
1542559402
-
Support vector machine applications in computational biology
-
B. Schölkopf, K. Tsuda, J.P. Vert, MIT Press Cambridge, MA
-
W.S. Noble Support vector machine applications in computational biology B. Schölkopf, K. Tsuda, J.P. Vert, Kernel Methods in Computational Biology 2004 MIT Press Cambridge, MA 71 92
-
(2004)
Kernel Methods in Computational Biology
, pp. 71-92
-
-
Noble, W.S.1
-
5
-
-
79953309904
-
An efficient support vector machine approach for identifying protein s-nitrosylation sites
-
Y. Li, Y. Shao, L. Jing, and N. Deng An efficient support vector machine approach for identifying protein s-nitrosylation sites Protein and Peptide Letters 18 6 2011 573 587
-
(2011)
Protein and Peptide Letters
, vol.18
, Issue.6
, pp. 573-587
-
-
Li, Y.1
Shao, Y.2
Jing, L.3
Deng, N.4
-
6
-
-
0033720879
-
Support vector machine for regression and applications to financial forecasting
-
T.B. Trafalis, H. Ince, Support vector machine for regression and applications to financial forecasting, in: Proceedings of the IEEE-INNS-ENNS International Joint Conference on IEEE, vol. 6, 2000, pp. 348-353.
-
(2000)
Proceedings of the IEEE-INNS-ENNS International Joint Conference on IEEE
, vol.6
, pp. 348-353
-
-
Trafalis, T.B.1
Ince, H.2
-
7
-
-
50649110956
-
Text document pre-processing with the bayes formula for classification using the support vector machine
-
D. Isa, L.H. Lee, V.P. Kallimani, and R. Rajkumar Text document pre-processing with the bayes formula for classification using the support vector machine IEEE Transactions on Knowledge and Data Engineering 20 9 2008 1264 1272
-
(2008)
IEEE Transactions on Knowledge and Data Engineering
, vol.20
, Issue.9
, pp. 1264-1272
-
-
Isa, D.1
Lee, L.H.2
Kallimani, V.P.3
Rajkumar, R.4
-
10
-
-
79958843215
-
TPMSVM a novel twin parametric-margin support vector machine for pattern recognition
-
X.J. Peng TPMSVM a novel twin parametric-margin support vector machine for pattern recognition Pattern Recognition 44 10-11 2011 2678 2692
-
(2011)
Pattern Recognition
, vol.44
, Issue.1011
, pp. 2678-2692
-
-
Peng, X.J.1
-
11
-
-
79957988400
-
Improvements on twin support vector machines
-
Y.H. Shao, C.H. Zhang, X.B. Wang, and N.Y. Deng Improvements on twin support vector machines IEEE Transactions on Neural Networks 22 6 2011 962 968
-
(2011)
IEEE Transactions on Neural Networks
, vol.22
, Issue.6
, pp. 962-968
-
-
Shao, Y.H.1
Zhang, C.H.2
Wang, X.B.3
Deng, N.Y.4
-
12
-
-
48649097170
-
Application of smoothing technique on twin support vector machines
-
M.A. Kumar, and M. Gopal Application of smoothing technique on twin support vector machines Pattern Recognition Letters 29 13 2008 1842 1848
-
(2008)
Pattern Recognition Letters
, vol.29
, Issue.13
, pp. 1842-1848
-
-
Kumar, M.A.1
Gopal, M.2
-
13
-
-
84870062149
-
A regularization for the projection twin support vector machine
-
Y. Shao, Z. Wang, W. Chen, and N. Deng A regularization for the projection twin support vector machine Knowledge-Based Systems 37 2013 203 210
-
(2013)
Knowledge-Based Systems
, vol.37
, pp. 203-210
-
-
Shao, Y.1
Wang, Z.2
Chen, W.3
Deng, N.4
-
14
-
-
84857059738
-
Least squares recursive projection twin support vector machine for classification
-
Y. Shao, N. Deng, and Z. Yang Least squares recursive projection twin support vector machine for classification Pattern Recognition 45 2012 2299 2307
-
(2012)
Pattern Recognition
, vol.45
, pp. 2299-2307
-
-
Shao, Y.1
Deng, N.2
Yang, Z.3
-
15
-
-
84861633285
-
Probabilistic outputs for twin support vector machines
-
Y. Shao, N. Deng, Z. Yang, W. Chen, and Z. Wang Probabilistic outputs for twin support vector machines Knowledge-Based Systems 33 2012 145 151
-
(2012)
Knowledge-Based Systems
, vol.33
, pp. 145-151
-
-
Shao, Y.1
Deng, N.2
Yang, Z.3
Chen, W.4
Wang, Z.5
-
16
-
-
84893937143
-
Proximal parametric-margin support vector classifier and its applications
-
in press
-
Z. Wang, Y. Shao, T. Wu, Proximal parametric-margin support vector classifier and its applications, Neural Computing & Applications, 10.1007/s00521-012-1278-6, in press.
-
Neural Computing & Applications
-
-
Wang, Z.1
Shao, Y.2
Wu, T.3
-
17
-
-
82355169634
-
A coordinate descent margin based twin support vector machine for classification
-
Y. Shao, and N. Deng A coordinate descent margin based twin support vector machine for classification Neural Networks 25 2012 114 121
-
(2012)
Neural Networks
, vol.25
, pp. 114-121
-
-
Shao, Y.1
Deng, N.2
-
18
-
-
33746932071
-
A study on SMO-type decomposition methods for support vector machines
-
P.H. Chen, R.E. Fan, and C.J. Lin A study on SMO-type decomposition methods for support vector machines IEEE Transactions on Neural Networks 17 4 2006 893 908
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.4
, pp. 893-908
-
-
Chen, P.H.1
Fan, R.E.2
Lin, C.J.3
-
19
-
-
84865560594
-
-
Department of Computer Science and Information Engineering, National Taiwan University
-
C. Chang, C. Lin, LIBSVM: A Library for Support Vector Machines, Technical Report, Department of Computer Science and Information Engineering, National Taiwan University, 2001.
-
(2001)
LIBSVM: A Library for Support Vector Machines, Technical Report
-
-
Chang, C.1
Lin, C.2
-
21
-
-
0000727832
-
On smoothing exact penalty functions for convex constrained optimization
-
M.C. Pinar, and S.A. Zenios On smoothing exact penalty functions for convex constrained optimization SIAM Journal on Optimization 4 1994 486 511
-
(1994)
SIAM Journal on Optimization
, vol.4
, pp. 486-511
-
-
Pinar, M.C.1
Zenios, S.A.2
-
25
-
-
0036530772
-
A fast and elitist multiobjective genetic algorithm NSGA-II
-
K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan A fast and elitist multiobjective genetic algorithm NSGA-II IEEE Transactions on Evolutionary Computation 6 2 2002 182 197
-
(2002)
IEEE Transactions on Evolutionary Computation
, vol.6
, Issue.2
, pp. 182-197
-
-
Deb, K.1
Agrawal, S.2
Pratap, A.3
Meyarivan, T.4
-
26
-
-
33748076461
-
A GA-based feature selection and parameters optimization for support vector machines
-
C.L. Huang, and C.J. Wang A GA-based feature selection and parameters optimization for support vector machines Expert Systems with Applications 31 2 2006 231 240
-
(2006)
Expert Systems with Applications
, vol.31
, Issue.2
, pp. 231-240
-
-
Huang, C.L.1
Wang, C.J.2
-
27
-
-
0344235442
-
Feature selection for support vector machines by means of genetic algorithms
-
Sacramento, CA, USA
-
H. Fröhlich, O. Chapelle, Feature selection for support vector machines by means of genetic algorithms, in: Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence, Sacramento, CA, USA, 2003, pp. 142-148.
-
(2003)
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
, pp. 142-148
-
-
Fröhlich, H.1
-
29
-
-
33846092558
-
Reduced support vector machines a statistical theory
-
Y.J. Lee, and S.Y. Huang Reduced support vector machines a statistical theory IEEE Transactions on Neural Networks 18 1 2007 1 13
-
(2007)
IEEE Transactions on Neural Networks
, vol.18
, Issue.1
, pp. 1-13
-
-
Lee, Y.J.1
Huang, S.Y.2
-
30
-
-
0000667930
-
Training ν-support vector classifiers theory and algorithm
-
C.C. Chang, and C.J. Lin Training ν-support vector classifiers theory and algorithm Neural Computation 13 2001 2119 2147
-
(2001)
Neural Computation
, vol.13
, pp. 2119-2147
-
-
Chang, C.C.1
Lin, C.J.2
-
31
-
-
21244486307
-
Multicategory proximal support vector machine classifiers
-
G. Fung, and O. Mangasarian Multicategory proximal support vector machine classifiers Machine Learning 59 2005 77 97
-
(2005)
Machine Learning
, vol.59
, pp. 77-97
-
-
Fung, G.1
Mangasarian, O.2
-
32
-
-
0037244768
-
Applying robust multi-response quality engineering for parameter selection using a novel neural-genetic algorithm
-
T.S. Li, C.T. Su, and T.L. Chiang Applying robust multi-response quality engineering for parameter selection using a novel neural-genetic algorithm Computers in Industry 50 1 2003 113 122
-
(2003)
Computers in Industry
, vol.50
, Issue.1
, pp. 113-122
-
-
Li, T.S.1
Su, C.T.2
Chiang, T.L.3
-
33
-
-
79952826133
-
Cancer classification from gene expression data by NPPC ensemble
-
S. Ghorai, A. Mukherjee, S. Sengupta, and P.K. Dutta Cancer classification from gene expression data by NPPC ensemble IEEE Transactions on Computational Biology and Bioinformatics 8 3 2010 659 671
-
(2010)
IEEE Transactions on Computational Biology and Bioinformatics
, vol.8
, Issue.3
, pp. 659-671
-
-
Ghorai, S.1
Mukherjee, A.2
Sengupta, S.3
Dutta, P.K.4
-
34
-
-
67349139293
-
An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs
-
S.Y. Yang, Q. Huang, L.L. Li, C.Y. Ma, H. Zhang, R. Bai, Q.Z. Teng, M.L. Xiang, and Y.Q. Wei An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs Artificial Intelligence in Medicine 46 2 2009 155 163
-
(2009)
Artificial Intelligence in Medicine
, vol.46
, Issue.2
, pp. 155-163
-
-
Yang, S.Y.1
Huang, Q.2
Li, L.L.3
Ma, C.Y.4
Zhang, H.5
Bai, R.6
Teng, Q.Z.7
Xiang, M.L.8
Wei, Y.Q.9
-
35
-
-
0002881568
-
Uniform crossover in genetic algorithms
-
Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
-
G. Sywerda, Uniform crossover in genetic algorithms, in: Proceedings of the 3rd International Conference on Genetic Algorithms, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1989, pp. 2-9.
-
(1989)
Proceedings of the 3rd International Conference on Genetic Algorithms
, pp. 2-9
-
-
Sywerda, G.1
-
38
-
-
56349105107
-
A new support vector classification algorithm with parametric-margin model
-
P.Y. Hao, L.B. Tsai, M.S. Lin, A new support vector classification algorithm with parametric-margin model, in: IEEE International Joint Conference on Neural Networks, 2008, pp. 420-425.
-
(2008)
IEEE International Joint Conference on Neural Networks
, pp. 420-425
-
-
Hao, P.Y.1
Tsai, L.B.2
Lin, M.S.3
-
39
-
-
84875703360
-
-
〈 http://www.mathworks.com 〉, 2007.
-
(2007)
-
-
-
40
-
-
33745834241
-
-
Department of Information and Computer Sciences, University of California, Irvine
-
C.L. Blake, C.J. Merz, UCI Repository for Machine Learning Databases, Department of Information and Computer Sciences, University of California, Irvine, 1998 〈 http://www.ics.uci.edu/∼mlearn/MLRepository.html 〉.
-
(1998)
UCI Repository for Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
|