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FOSSACS
2003
Springer
15 years 12 months ago
Model Checking Lossy Channels Systems Is Probably Decidable
Lossy channel systems (LCS’s) are systems of finite state automata that communicate via unreliable unbounded fifo channels. We propose a new probabilistic model for these syste...
Nathalie Bertrand, Ph. Schnoebelen
EMNLP
2008
15 years 8 months ago
Sampling Alignment Structure under a Bayesian Translation Model
We describe the first tractable Gibbs sampling procedure for estimating phrase pair frequencies under a probabilistic model of phrase alignment. We propose and evaluate two nonpar...
John DeNero, Alexandre Bouchard-Côté,...
EMNLP
2011
14 years 6 months ago
Lexical Generalization in CCG Grammar Induction for Semantic Parsing
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
Tom Kwiatkowski, Luke S. Zettlemoyer, Sharon Goldw...
CIKM
2011
Springer
14 years 6 months ago
Hybrid models for future event prediction
We present a hybrid method to turn off-the-shelf information retrieval (IR) systems into future event predictors. Given a query, a time series model is trained on the publication...
Giuseppe Amodeo, Roi Blanco, Ulf Brefeld
IJCAI
2003
15 years 8 months ago
A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
Sebastian Thrun, Geoffrey J. Gordon, Frank Pfennin...