2103 search results - page 33 / 421 » Approximate Learning of Dynamic Models |
133
click to vote
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
125
click to vote
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
A new algorithm for training Restricted Boltzmann Machines is introduced. The algorithm, named Persistent Contrastive Divergence, is different from the standard Contrastive Diverg...
122
click to vote
WAPCV
2007
Springer
15 years 8 months ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
125
click to vote
WEBI
2009
Springer
15 years 8 months ago
2009
Springer
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...