490 search results - page 22 / 98 » Structural Inference of Hierarchies in Networks |
127
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ICFP
2005
ACM
16 years 1 months ago
2005
ACM
ML modules and Haskell type classes have proven to be highly effective tools for program structuring. Modules emphasize explicit configuration of program components and the use of...
114
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
121
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
130
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JMLR
2010
14 years 8 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
111
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AAAI
1998
15 years 2 months ago
1998
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...