467 search results - page 20 / 94 » An Efficient Approach to Learning Inhomogeneous Gibbs Model |
NIPS
2004
13 years 10 months ago
2004
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
AI
2002
Springer
13 years 8 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...