2299 search results - page 26 / 460 » Inference and Learning in Planning |
110
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
72
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AAAI
1990
14 years 10 months ago
1990
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
JAIR
2007
14 years 9 months ago
2007
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
CORR
2011
Springer
14 years 4 months ago
2011
Springer
A plausible definition of "reasoning" could be "algebraically manipulating previously acquired knowledge in order to answer a new question". This definition co...