nips nips2001 nips2001-15 nips2001-15-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
Abstract: Recently, Jaakkola and Haussler proposed a method for constructing kernel functions from probabilistic models. Their so called
[1] L. Devroye, L. Gyorfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition. Springer , 1996.
[2] R. Durbin, S. Eddy, A. Krogh, and G. Mitchison. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press , 1998.
[3] K. Fukunaga. Introduction to Statistical Pattern Recognition. Academic Press, San Diego, 2nd edition, 1990.
[4] D. Geiger and C. Meek. Graphical models and exponential famili es . Technical Report MSR- TR-98-10, Microsoft Research, 1998.
[5] T.S. Jaakkola, M. Diekhans, and D. Haussler. A discriminative framework for detecting remote protein homologies. J. Compo Biol. , 7:95-114, 2000.
[6] T.S. Jaakkola and D. Haussler. Exploiting generative models in discriminative classifiers. In M.S. Kearns, S.A. SoHa, and D.A. Cohn, editors, Advances in Neural Information Processing Systems 11 , pages 487- 493. MIT Press, 1999.
[7] N. Murata, S. Yoshizawa, and S. Amari. Network information criterion determining the number of hidden units for an artificial neural network model. IEEE Trans. Neural Networks, 5:865- 872, 1994.
[8] N. Smith and M. Gales. Speech recognition using SVMs. In T.G. Dietterich, S. Becker, and Z. Ghahramani , editors, Advances in Neural Information Processing Systems 14. MIT Press, 2002. to appear.