775 search results - page 129 / 155 » First-order probabilistic inference |
88
Voted
ECIR
2009
Springer
15 years 9 months ago
2009
Springer
The aim of query-based sampling is to obtain a sufficient, representative sample of an underlying (text) collection. Current measures for assessing sample quality are too coarse gr...
116
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
113
Voted
HRI
2010
ACM
15 years 7 months ago
2010
ACM
—Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. Understanding this kind of linguistic input is challenging be...
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 ...
119
click to vote
SUM
2009
Springer
15 years 7 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...