79 search results - page 8 / 16 » Structure Learning with Nonparametric Decomposable Models |
113
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PRICAI
2000
Springer
15 years 3 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
114
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AAAI
2006
15 years 1 months ago
2006
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
AAAI
2008
15 years 2 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
110
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3DOR
2010
14 years 6 months ago
2010
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
UAI
2000
15 years 1 months ago
2000
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...