3694 search results - page 10 / 739 » Stochastic complexity in learning |
COLT
2010
Springer
13 years 5 months ago
2010
Springer
NIPS
2008
13 years 9 months ago
2008
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...
IJCAI
2001
13 years 8 months ago
2001
We present a machine learning algorithm for refining the structure of a stochastic context
COLT
2006
Springer
13 years 11 months ago
2006
Springer
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 ...
NIPS
2000
13 years 8 months ago
2000
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...