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» On the Theory of Stochastic Processors
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UAI
2001
14 years 11 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
WSC
2004
14 years 11 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
NAACL
1994
14 years 11 months ago
Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition
The goal of this study is to evaluate the potential for using large vocabulary continuous speech recognition as an engine for automatically classifying utterances according to the...
Steve Lowe, Anne Demedts, Larry Gillick, Mark Mand...
CORR
2006
Springer
96views Education» more  CORR 2006»
14 years 9 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk
SIAMCO
2008
81views more  SIAMCO 2008»
14 years 9 months ago
Connections between Singular Control and Optimal Switching
This paper builds a new theoretical connection between singular control of finite variation and optimal switching problems. This correspondence provides a novel method for solving ...
Xin Guo, Pascal Tomecek