2082 search results - page 204 / 417 » Using model knowledge for learning inverse dynamics |
154
Voted
NIPS
2008
15 years 5 months ago
2008
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
158
Voted
NIPS
2004
15 years 5 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
168
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Automated facial expression recognition has received increased attention over the past two decades. Existing works in the field usually do not encode either the temporal evolutio...
133
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IRAL
2003
ACM
15 years 9 months ago
2003
ACM
Recent years saw an increased interest in the use and the construction of large corpora. With this increased interest and awareness has come an expansion in the application to kno...
134
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EUROCAST
2007
Springer
15 years 10 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...