759 search results - page 89 / 152 » Structured Learning with Approximate Inference |
IWINAC
2007
Springer
15 years 4 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
15 years 10 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...
UAI
2000
14 years 11 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
15 years 10 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 ...
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RECOMB
2011
Springer
14 years 19 days 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...