-
2
-
-
0002094343
-
Generalization performance of support vector machines and other pattern classifiers
-
B. Scholkopf, C. J. C. Burges, and A. J. Smola (Eds.), Cambridge: MIT Press
-
Bartlett P, Shawe-Taylor J (1998) Generalization performance of support vector machines and other pattern classifiers. In: Scholkopf B, Burges CJC, Smola AJ (eds) Advances in kernel methods-support vector learning. MIT Press, Cambridge.
-
(1998)
Advances in Kernel Methods-Support Vector Learning
-
-
Bartlett, P.1
Shawe-Taylor, J.2
-
3
-
-
0037592480
-
Evolution strategies: A comprehensive introduction
-
Beyer H-G, Schwefel HP (2002) Evolution strategies: a comprehensive introduction. Nat Comput 1(1): 3-52.
-
(2002)
Nat Comput
, vol.1
, Issue.1
, pp. 3-52
-
-
Beyer, H.-G.1
Schwefel, H.P.2
-
4
-
-
0003408496
-
-
University of California, Department of Information and Computer Science, Irvine, CA
-
Blake CL, Merz CJ (1998) UCI repository of machine learning databases [Online]. University of California, Department of Information and Computer Science, Irvine, CA. http://www.ics.uci.edu/~mlearn/MLRepository.html.
-
(1998)
UCI repository of machine learning databases [Online]
-
-
Blake, C.L.1
Merz, C.J.2
-
5
-
-
0033280893
-
Beating the hold-out: Bounds for K-fold and progressive cross-validation
-
Blum A, Kalai A, Langford J (1999) Beating the hold-out: bounds for K-fold and progressive cross-validation. Computational Learing Theory, pp 203-208.
-
(1999)
Computational Learing Theory
, pp. 203-208
-
-
Blum, A.1
Kalai, A.2
Langford, J.3
-
6
-
-
0024750852
-
Learnability and the Vapnik-Chervonenkis dimension
-
Blumer A, Ehrenfeucht A, Haussler D, Warmuth MK (1989) Learnability and the Vapnik-Chervonenkis dimension. J ACM 36(4): 929-965.
-
(1989)
J ACM
, vol.36
, Issue.4
, pp. 929-965
-
-
Blumer, A.1
Ehrenfeucht, A.2
Haussler, D.3
Warmuth, M.K.4
-
7
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges C (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 2(2): 121-167.
-
(1998)
Data Min Knowl Discov
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.1
-
8
-
-
0036161011
-
Choosing multiple parameters for support vector machines
-
Chapelle O, Vapnik V, Bousquet O, Mukherjee S (2002) Choosing multiple parameters for support vector machines. Mach Learn 46(1): 131-159.
-
(2002)
Mach Learn
, vol.46
, Issue.1
, pp. 131-159
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
12
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Demsar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7: 1-30.
-
(2006)
J Mach Learn Res
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
13
-
-
0036993130
-
Genetic algorithms and support vector machines for time series classification
-
Eads DR, Hill D, Davis S, Perkins S, Ma J, Porter R, Theiler J (2002) Genetic algorithms and support vector machines for time series classification. In: Proceedings of SPIF vol 4787, pp 74-85.
-
(2002)
Proceedings of SPIF
, vol.4787
, pp. 74-85
-
-
Eads, D.R.1
Hill, D.2
Davis, S.3
Perkins, S.4
Ma, J.5
Porter, R.6
Theiler, J.7
-
16
-
-
84944811700
-
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
-
Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32: 675-701.
-
(1937)
J Am Stat Assoc
, vol.32
, pp. 675-701
-
-
Friedman, M.1
-
18
-
-
33750124478
-
Efficient parameter selection for support vector machines in classification and regression via model-based global optimization
-
Fröhlich H, Zell A (2005) Efficient parameter selection for support vector machines in classification and regression via model-based global optimization. In: IEEE international joint conference on neural networks (IJCNN 2005) 3: 1431-1436.
-
(2005)
IEEE international joint conference on neural networks (IJCNN 2005)
, vol.3
, pp. 1431-1436
-
-
Fröhlich, H.1
Zell, A.2
-
20
-
-
58149287952
-
An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons
-
Garcia S, Herrera F (2008) An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons. J Mach Learn Res 9: 2677-2694.
-
(2008)
J Mach Learn Res
, vol.9
, pp. 2677-2694
-
-
Garcia, S.1
Herrera, F.2
-
21
-
-
64549120231
-
A study of statistical techniques and performance measures for genetics-based machine learning: Accuracy and interpretability
-
Garcia S, Fernández A, Luengo J, Herrera F (2009) A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. Soft Comput 13(10): 959-977.
-
(2009)
Soft Comput
, vol.13
, Issue.10
, pp. 959-977
-
-
Garcia, S.1
Fernández, A.2
Luengo, J.3
Herrera, F.4
-
23
-
-
56549111881
-
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization
-
Guo XC, Yang JH, Wu CG, Wang CY, Liang YC (2008) A novel LS-SVMs hyper-parameter selection based on particle swarm optimization. Neurocomputing 71(16-18): 3211-3215.
-
(2008)
Neurocomputing
, vol.71
, Issue.16-18
, pp. 3211-3215
-
-
Guo, X.C.1
Yang, J.H.2
Wu, C.G.3
Wang, C.Y.4
Liang, Y.C.5
-
24
-
-
0032136585
-
Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis
-
Herrera F, Lozano M, Verdegay JL (1996) Tackling real-coded genetic algorithms: operators and tools for behavioural analysis. Artif Intell Rev 12(4): 265-319.
-
(1996)
Artif Intell Rev
, vol.12
, Issue.4
, pp. 265-319
-
-
Herrera, F.1
Lozano, M.2
Verdegay, J.L.3
-
26
-
-
0002294347
-
A simple sequentially rejective multiple test procedure
-
Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6: 65-70.
-
(1979)
Scand J Stat
, vol.6
, pp. 65-70
-
-
Holm, S.1
-
27
-
-
29144521785
-
The genetic kernel support vector machine: Description and evaluation
-
Howley T, Madden MG (2005) The genetic kernel support vector machine: description and evaluation. Artif Intell Rev 24: 379-395.
-
(2005)
Artif Intell Rev
, vol.24
, pp. 379-395
-
-
Howley, T.1
Madden, M.G.2
-
29
-
-
0001750957
-
Approximations of the critical region of the friedman statistic
-
Iman L, Davenport JM (1980) Approximations of the critical region of the friedman statistic. Communications in Statistics A9: 571-595.
-
(1980)
Communications in Statistics
, vol.A9
, pp. 571-595
-
-
Iman, L.1
Davenport, J.M.2
-
35
-
-
0035272287
-
An introduction to kernel-based learning algorithm
-
Müller K, Mika S, Rätsch G, Tsuda K, Schölkopf B (2001) An introduction to kernel-based learning algorithm. IEEE Transactions on Neural Networks 12(2): 181-201.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.2
, pp. 181-201
-
-
Müller, K.1
Mika, S.2
Rätsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
42
-
-
0003408420
-
-
London: MIT Press
-
Schölkopf B, Smola A (2002) Learning with kernels: support vector machines, regularization, optimization, and beyond. MIT Press, London.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond
-
-
Schölkopf, B.1
Smola, A.2
-
48
-
-
0142000477
-
Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces
-
Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11: 341-359.
-
(1997)
J Global Optim
, vol.11
, pp. 341-359
-
-
Storn, R.1
Price, K.2
-
49
-
-
2142643698
-
Support vector machine with a hybrid kernel and minimal Vapnik-Chervonenkis dimension
-
Tan Y, Wang J (2004) Support vector machine with a hybrid kernel and minimal Vapnik-Chervonenkis dimension. IEEE Trans on Know Data Eng 16(4): 358-395.
-
(2004)
IEEE Trans on Know Data Eng
, vol.16
, Issue.4
, pp. 358-395
-
-
Tan, Y.1
Wang, J.2
-
52
-
-
0001024505
-
On the uniform convergence of relative frequencies of events to their probabilities
-
Vapnik V, Chervonenkis A (1971) On the uniform convergence of relative frequencies of events to their probabilities. Theory Probab Appl 16(2): 264-280.
-
(1971)
Theory Probab Appl
, vol.16
, Issue.2
, pp. 264-280
-
-
Vapnik, V.1
Chervonenkis, A.2
-
56
-
-
80054875381
-
Parameters selection of SVM for function approximation based on differential evolution
-
Chengdu, China
-
Zhou S, Wu L, Yuan X, Tan W (2007) Parameters selection of SVM for function approximation based on differential evolution. In: Proceedings of the international conference on intelligent systems and knowledge engineering (ISKE 2007), Chengdu, China.
-
(2007)
Proceedings of the international conference on intelligent systems and knowledge engineering (ISKE 2007)
-
-
Zhou, S.1
Wu, L.2
Yuan, X.3
Tan, W.4
|