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» A Neural Probabilistic Language Model
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ICML
2009
IEEE
15 years 4 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
EMNLP
2006
14 years 11 months ago
Discriminative Methods for Transliteration
We present two discriminative methods for name transliteration. The methods correspond to local and global modeling approaches in modeling structured output spaces. Both methods d...
Dmitry Zelenko, Chinatsu Aone
ALT
2010
Springer
14 years 6 months ago
A Spectral Approach for Probabilistic Grammatical Inference on Trees
We focus on the estimation of a probability distribution over a set of trees. We consider here the class of distributions computed by weighted automata - a strict generalization of...
Raphaël Bailly, Amaury Habrard, Franço...
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 4 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...
ICMCS
2005
IEEE
87views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Probabilistic Description of Man-Machine Spoken Communication
Speech enabled interfaces and spoken dialog systems are mostly based on statistical speech and language processing modules. Their behavior is therefore not deterministic and hardl...
Olivier Pietquin