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COLT
2010
Springer
14 years 7 months ago
The Online Loop-free Stochastic Shortest-Path Problem
Gergely Neu, András György, Csaba Szep...
NIPS
2008
14 years 11 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
IJCAI
2001
14 years 11 months ago
Refining the Structure of a Stochastic Context-Free Grammar
We present a machine learning algorithm for refining the structure of a stochastic context
Joseph Bockhorst, Mark Craven
COLT
2006
Springer
15 years 1 months ago
Learning Rational Stochastic Languages
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
François Denis, Yann Esposito, Amaury Habra...
NIPS
2000
14 years 11 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...