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AAAI
1990
15 years 1 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
15 years 1 days 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»
14 years 12 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»
14 years 11 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»
14 years 11 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...