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NECO
2011
13 years 2 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
ICML
2007
IEEE
14 years 8 months ago
Bayesian actor-critic algorithms
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Mohammad Ghavamzadeh, Yaakov Engel
ACL
2011
12 years 11 months ago
A Bayesian Model for Unsupervised Semantic Parsing
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Ivan Titov, Alexandre Klementiev
IPPS
2000
IEEE
13 years 11 months ago
A Decision-Process Analysis of Implicit Coscheduling
ThispaperpresentsatheoreticalframeworkbasedonBayesian decision theory for analyzing recently reported results on implicit coscheduling of parallel applications on clusters of work...
Radha Poovendran, Peter J. Keleher, John S. Baras
TASLP
2010
97views more  TASLP 2010»
13 years 2 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals