311 search results - page 27 / 63 » Learning first-order probabilistic models with combining rul... |
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ICLP
2010
Springer
15 years 3 months ago
2010
Springer
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
CORR
2008
Springer
14 years 12 months ago
2008
Springer
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
100
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AAAI
2010
15 years 1 months ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
112
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ICVGIP
2004
15 years 1 months ago
2004
This paper presents an approach for a multi-cue, viewbased recognition of gestures. We describe an exemplarbased technique that combines two different forms of exemplars - shape e...
88
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NIPS
2007
15 years 1 months ago
2007
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...