-
1
-
-
0003607151
-
Multivariate Analysis
-
London, New York, Academic Press.
-
K. V. Mardia, J. M. Bibby, and J. T. Kent, Multivariate Analysis, London, New York, Academic Press, 1979.
-
(1979)
-
-
Mardia, K.V.1
Bibby, J.M.2
Kent, J.T.3
-
2
-
-
0026966646
-
-
A training algorithm for optimal margin classifiers, In Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory, Pittsburg, PA, ACM Press.
-
B. E. Boser, I. M. Guyon, and V. N. Vapnik, A training algorithm for optimal margin classifiers, In Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory, Pittsburg, PA, ACM Press, 1992, 144-152.
-
(1992)
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.N.3
-
3
-
-
0003450542
-
Statistical Learning Theory
-
Wiley
-
V. Vapnik, Statistical Learning Theory, Wiley, 1998.
-
(1998)
-
-
Vapnik, V.1
-
4
-
-
0035478854
-
Random Forests
-
L. Breiman, Random Forests, Mach Learn 45 (2001), 5C32.
-
(2001)
Mach Learn
, vol.45
-
-
Breiman, L.1
-
5
-
-
0003684449
-
The Elements of Statistical Learning
-
New York, Springer
-
T. Hastie, R. Tibshirani, and J. H. Friedman, The Elements of Statistical Learning, New York, Springer, 2003.
-
(2003)
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.H.3
-
6
-
-
0003798635
-
An Introduction to Support Vector Machines
-
Cambridge, Cambridge University Press
-
N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines, Cambridge, Cambridge University Press, 2000.
-
(2000)
-
-
Cristianini, N.1
Shawe-Taylor, J.2
-
7
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
K. Crammer and Y. Singer, On the algorithmic implementation of multiclass kernel-based vector machines, J Mach Learn Res 2 (2001), 265-292.
-
(2001)
J Mach Learn Res
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
8
-
-
2142775432
-
Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data
-
Y. Lee, Y. Lin, and G. Wahba, Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data, J Am Stat Assoc 99 (2004), 67-81.
-
(2004)
J Am Stat Assoc
, vol.99
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
9
-
-
0032638628
-
Least squares support vector machine classifiers
-
J. A. K. Suykens and J. Vandewalle, Least squares support vector machine classifiers, Neural Process Lett 9(3) (1999), 293-300.
-
(1999)
Neural Process Lett
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
10
-
-
0035789613
-
-
Proximal support vector machine classifiers, In Proceedings KDD-2001: Knowledge Discovery and Data Mining, San Francisco, CA, 2001
-
G. Fung and O. L. Mangasarian, Proximal support vector machine classifiers, In Proceedings KDD-2001: Knowledge Discovery and Data Mining, San Francisco, CA, 2001, 77-86.
-
-
-
Fung, G.1
Mangasarian, O.L.2
-
11
-
-
33745305029
-
Multiclass proximal support vector machines
-
Y. Tang and H. H. Zhang, Multiclass proximal support vector machines, J Computat Graph Stat 15 (2006), 339-355.
-
(2006)
J Computat Graph Stat
, vol.15
, pp. 339-355
-
-
Tang, Y.1
Zhang, H.H.2
-
12
-
-
85196057684
-
-
Fisher consistency of multicategory support vector machines, In Eleventh International Conference on Artificial Intelligence and Statistics, San Juan, Puerto Rico, 2007.
-
Y. Liu, Fisher consistency of multicategory support vector machines, In Eleventh International Conference on Artificial Intelligence and Statistics, San Juan, Puerto Rico, 2007, 289-296.
-
-
-
Liu, Y.1
-
13
-
-
33745638149
-
Multicategory Ψ-learning
-
Y. Liu and X. Shen, Multicategory Ψ-learning, J Am Stat Assoc 101 (2006), 500-509.
-
(2006)
J Am Stat Assoc
, vol.101
, pp. 500-509
-
-
Liu, Y.1
Shen, X.2
-
14
-
-
0015000439
-
Some results on Tchebycheffian spline functions
-
G. Kimeldorf and G. Wahba, Some results on Tchebycheffian spline functions, J Math Anal Appl 33 (1971), 82-95.
-
(1971)
J Math Anal Appl
, vol.33
, pp. 82-95
-
-
Kimeldorf, G.1
Wahba, G.2
-
15
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
T. Golub, D. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. Mesirov, H. Coller, M. Loh, J. Downing, and M. Caligiuri, Molecular classification of cancer: class discovery and class prediction by gene expression monitoring, Science 286 (1999), 531-537.
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.1
Slonim, D.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.6
Coller, H.7
Loh, M.8
Downing, J.9
Caligiuri, M.10
-
16
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
S. Dudoit, J. Fridly, and T. P. Speed, Comparison of discrimination methods for the classification of tumors using gene expression data, J Am Stat Assoc 97 (2002), 77-87.
-
(2002)
J Am Stat Assoc
, vol.97
, pp. 77-87
-
-
Dudoit, S.1
Fridly, J.2
Speed, T.P.3
-
17
-
-
84899024917
-
1-norm support vector machines
-
J. Zhu, S. Rosset, T. Hastie, and R. Tibshirani, 1-norm support vector machines, Neural Inform Process Syst 2004, 16.
-
(2004)
Neural Inform Process Syst
, pp. 16
-
-
Zhu, J.1
Rosset, S.2
Hastie, T.3
Tibshirani, R.4
-
18
-
-
34250708395
-
On \documentclass{article}\usepackage{amsmath}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{amsfonts}\pagestyle{empty}\begin{document}$\textsc{L}_{1}$\end{document}-norm multiclass support vector machines
-
L. Wang and X. Shen, On \documentclass{article}\usepackage{amsmath}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{amsfonts}\pagestyle{empty}\begin{document}$\textsc{L}_{1}$\end{document}-norm multiclass support vector machines, J Am Stat Assoc 102(478) (2007), 583-594.
-
(2007)
J Am Stat Assoc
, vol.102
, Issue.478
, pp. 583-594
-
-
Wang, L.1
Shen, X.2
|