759 search results - page 89 / 152 » Structured Learning with Approximate Inference |
IWINAC
2007
Springer
15 years 7 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Attribute interactions are the irreducible dependencies between attributes. Interactions underlie feature relevance and selection, the structure of joint probability and classific...
117
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UAI
2000
15 years 2 months ago
2000
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
IPMI
2005
Springer
16 years 2 months ago
2005
Springer
Abstract. A hierarchical model based on the Multivariate Autoregessive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to ...
214
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RECOMB
2011
Springer
14 years 4 months ago
2011
Springer
Motivation. Current approaches to RNA structure prediction range from physics-based methods, which rely on thousands of experimentally-measured thermodynamic parameters, to machin...