890 search results - page 69 / 178 » Learning a Generative Model for Structural Representations |
144
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JMLR
2010
14 years 9 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
219
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RECOMB
2011
Springer
14 years 5 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...
106
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EMMCVPR
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. In this paper, we present an automatic human portrait system based on the And-Or graph representation. The system can automatically generate a set of life-like portraits ...
111
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PPSN
2004
Springer
15 years 7 months ago
2004
Springer
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
AAAI
2000
15 years 3 months ago
2000
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...