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ICML
2008
IEEE
14 years 8 months ago
Confidence-weighted linear classification
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
Mark Dredze, Koby Crammer, Fernando Pereira
CSL
2007
Springer
13 years 7 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
TCOM
2011
155views more  TCOM 2011»
13 years 2 months ago
Asymptotically Optimal Model Estimation for Quantization
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
Alexey Ozerov, W. Bastiaan Kleijn
ESANN
2004
13 years 9 months ago
Robust Bayesian Mixture Modelling
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...
Christopher M. Bishop, Markus Svensén
BMCBI
2008
159views more  BMCBI 2008»
13 years 7 months ago
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via log
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
Dawei Liu, Debashis Ghosh, Xihong Lin