598 search results - page 22 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
169
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CP
2006
Springer
15 years 9 months ago
2006
Springer
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...
189
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CLOR
2006
15 years 9 months ago
2006
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
170
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ATAL
2008
Springer
15 years 7 months ago
2008
Springer
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
172
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ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
175
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KDD
2009
ACM
15 years 10 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...