-
1
-
-
1542367492
-
-
(Technical Report 638). Department of Statistics, UC Berkeley
-
Bartlett, P., Jordan, M. I., & McAuliffe, J. D. (2003). Convexity, classification and risk bounds (Technical Report 638). Department of Statistics, UC Berkeley.
-
(2003)
Convexity, Classification and Risk Bounds
-
-
Bartlett, P.1
Jordan, M.I.2
McAuliffe, J.D.3
-
2
-
-
0030780250
-
Distributed detection with multiple sensors: Part II - Advanced topics
-
Blum, R. S., Kassam, S. A., & Poor, H. V. (1997). Distributed detection with multiple sensors: Part II - advanced topics. Proceedings of the IEEE, 85, 64-79.
-
(1997)
Proceedings of the IEEE
, vol.85
, pp. 64-79
-
-
Blum, R.S.1
Kassam, S.A.2
Poor, H.V.3
-
3
-
-
85139983802
-
Supervised and unsupervised discretization of continuous features
-
San Mateo, CA: Morgan Kaufmann
-
Dougherty, J., Kohavi, R., & Sahami, M. (1995). Supervised and unsupervised discretization of continuous features. Proceedings of the ICML. San Mateo, CA: Morgan Kaufmann.
-
(1995)
Proceedings of the ICML
-
-
Dougherty, J.1
Kohavi, R.2
Sahami, M.3
-
4
-
-
84898982939
-
Exploiting generative models in discriminative classifiers
-
Cambridge, MA: MIT Press
-
Jaakkola, T., & Haussler, D. (1999). Exploiting generative models in discriminative classifiers. NIPS 11. Cambridge, MA: MIT Press.
-
(1999)
NIPS
, vol.11
-
-
Jaakkola, T.1
Haussler, D.2
-
5
-
-
0036104545
-
Empirical margin distributions and bounding the generalization error of combined classifiers
-
Koltchinskii, V., & Panchenko, D. (2002). Empirical margin distributions and bounding the generalization error of combined classifiers. Annals of Statistics, 30, 1-50.
-
(2002)
Annals of Statistics
, vol.30
, pp. 1-50
-
-
Koltchinskii, V.1
Panchenko, D.2
-
6
-
-
14344249534
-
-
(Technical Report 658). Dept. of Statistics, UC Berkeley
-
Nguyen, X., Wainwright, M. J., & Jordan, M. I. (2004). Decentralized detection and classification using kernel methods (Technical Report 658). Dept. of Statistics, UC Berkeley.
-
(2004)
Decentralized Detection and Classification Using Kernel Methods
-
-
Nguyen, X.1
Wainwright, M.J.2
Jordan, M.I.3
-
7
-
-
0004267646
-
-
Princeton: Princeton University Press
-
Rockafellar, G. (1970). Convex analysis. Princeton: Princeton University Press.
-
(1970)
Convex Analysis
-
-
Rockafellar, G.1
-
10
-
-
1642338802
-
Marginalized kernels for biological sequences
-
Tsuda, K., Kin, T., & Asai, K. (2002). Marginalized kernels for biological sequences. Bioinformatics, 18, 268-275.
-
(2002)
Bioinformatics
, vol.18
, pp. 268-275
-
-
Tsuda, K.1
Kin, T.2
Asai, K.3
-
13
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
Zhang, T. (2004). Statistical behavior and consistency of classification methods based on convex risk minimization. Annals of Statistics, 52, 56-134.
-
(2004)
Annals of Statistics
, vol.52
, pp. 56-134
-
-
Zhang, T.1
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