1864 search results - page 138 / 373 » Modeling Classification and Inference Learning |
102
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NIPS
2008
15 years 2 months ago
2008
The Temporal Restricted Boltzmann Machine (TRBM) is a probabilistic model for sequences that is able to successfully model (i.e., generate nice-looking samples of) several very hi...
112
Voted
ALT
2008
Springer
15 years 9 months ago
2008
Springer
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
86
Voted
ICTAI
2009
IEEE
15 years 7 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
75
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
120
Voted
IJCAI
2003
15 years 2 months ago
2003
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...