-
4
-
-
34547975736
-
Feature selection in a kernel space
-
B. Cao, D. Shen, J.-T. Sun, Q. Yang, Z. Chen, Feature selection in a kernel space, in: Proceedings of International Conference on Machine Learning, 2007.
-
(2007)
Proceedings of International Conference on Machine Learning
-
-
Cao, B.1
Shen, D.2
Sun, J.-T.3
Yang, Q.4
Chen, Z.5
-
9
-
-
84898948710
-
Feature selection for SVMs
-
J. Weston, S. Mukherjee, O. Chapelle, M. Pontil, T. Poggio, V. Vapnik, Feature selection for SVMs, in: Advances in Neural Information Processing Systems, 2001.
-
(2001)
Advances in Neural Information Processing Systems
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
-
13
-
-
0003408420
-
-
MIT Press, Cambridge, MA
-
Schölkopf B., and Smola A. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (2002), MIT Press, Cambridge, MA
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
-
-
Schölkopf, B.1
Smola, A.2
-
17
-
-
0242596881
-
On kernel-target alignment
-
Advances in Neural Information Processing Systems
-
N. Cristianini, J. Shawe-Taylor, A. Elisseeff, J. Kandola, On kernel-target alignment, in: Advances in Neural Information Processing Systems, 2001.
-
(2001)
-
-
Cristianini, N.1
Shawe-Taylor, J.2
Elisseeff, A.3
Kandola, J.4
-
18
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
Lanckriet G.R., Cristianini N., Bartlett P., Ghaoui L.E., and Jordan M.I. Learning the kernel matrix with semidefinite programming. Journal of Machine Learning Research 5 (2004) 27-72
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 27-72
-
-
Lanckriet, G.R.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.E.4
Jordan, M.I.5
-
19
-
-
0036161011
-
Choosing multiple parameters for support vector machines
-
Chapelle O., Vapnik V., Bousquet O., and Mukherjee S. Choosing multiple parameters for support vector machines. Machine Learning 46 1-3 (2002) 131-159
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 131-159
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
20
-
-
34548551168
-
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
-
J. Stoeckel, G. Fung, SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information, in: IEEE International Conference on Data Mining, 2005.
-
(2005)
IEEE International Conference on Data Mining
-
-
Stoeckel, J.1
Fung, G.2
-
23
-
-
85148477250
-
-
M. Grant, S. Boyd, Graph implementations for nonsmooth convex programs, in: V. Blondel, S. Boyd, H. Kimura (Eds.), Recent Advances in Learning and Control (a tribute to M. Vidyasagar) Lecture Notes in Control and Information Sciences, Springer, Berlin, 2008, pp. 95-110.
-
M. Grant, S. Boyd, Graph implementations for nonsmooth convex programs, in: V. Blondel, S. Boyd, H. Kimura (Eds.), Recent Advances in Learning and Control (a tribute to M. Vidyasagar) Lecture Notes in Control and Information Sciences, Springer, Berlin, 2008, pp. 95-110.
-
-
-
-
24
-
-
70449700762
-
-
UCI machine learning repository
-
A. Asuncion, D. Newman, UCI machine learning repository, 2007 〈http://www.ics.uci.edu/∼mlearn/MLRepository.html〉.
-
(2007)
-
-
Asuncion, A.1
Newman, D.2
-
25
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
LeCun Y., Bottou L., Bengio Y., and Haffner P. Gradient-based learning applied to document recognition. Proceedings of the IEEE 86 11 (1998) 2278-2324
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
26
-
-
34247622378
-
Iterative relief for feature weighting: algorithms, theories, and applications
-
Sun Y. Iterative relief for feature weighting: algorithms, theories, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence 29 6 (2007) 1035-1051
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.6
, pp. 1035-1051
-
-
Sun, Y.1
-
28
-
-
0034290919
-
The FERET evaluation methodology for face-recognition
-
Philips P., Moon H., Rizvi S., and Rauss P. The FERET evaluation methodology for face-recognition. Pattern Analysis and Machine Intelligence 22 10 (2000) 1090-1104
-
(2000)
Pattern Analysis and Machine Intelligence
, vol.22
, Issue.10
, pp. 1090-1104
-
-
Philips, P.1
Moon, H.2
Rizvi, S.3
Rauss, P.4
-
29
-
-
0003417748
-
Statistical models of appearance for computer vision
-
Technical Report, University of Manchester
-
T. Cootes, C. Taylor, Statistical models of appearance for computer vision, Technical Report, University of Manchester, 2001.
-
(2001)
-
-
Cootes, T.1
Taylor, C.2
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