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AAAI
1990
13 years 9 months ago
Symbolic Probabilistic Inference in Belief Networks
The Symbolic Probabilistic Inference (SPI) Algorithm [D'Ambrosio, 19891 provides an efficient framework for resolving general queries on a belief network. It applies the conc...
Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Fa...
ICASSP
2010
IEEE
13 years 8 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
CSDA
2010
118views more  CSDA 2010»
13 years 8 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
INTEGRATION
2006
102views more  INTEGRATION 2006»
13 years 8 months ago
A parameterized graph-based framework for high-level test synthesis
Improving testability during the early stages of high-level synthesis has several benefits including reduced test hardware overheads, reduced test costs, reduced design iterations...
Saeed Safari, Amir-Hossein Jahangir, Hadi Esmaeilz...
JCSS
1998
51views more  JCSS 1998»
13 years 7 months ago
Randomized Query Processing in Robot Path Planning
d Abstract) LYDIA E. KAVRAKI   JEAN-CLAUDE LATOMBE   RAJEEV MOTWANI ¡ PRABHAKAR RAGHAVAN ¢ The subject of this paper is the analysis of a randomized preprocessing scheme that ...
Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motw...