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CEC
2005
IEEE
14 years 1 months ago
Clustering-based approach to identify solutions for the inference of regulatory networks
Abstract- In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the depende...
Christian Spieth, Felix Streichert, Nora Speer, An...
AUTOMATICA
2006
63views more  AUTOMATICA 2006»
13 years 7 months ago
Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping
This paper investigates new ways of inferring nonlinear dependence from measured data. The existence of unique linear and nonlinear sub-spaces which are structural invariants of g...
Douglas J. Leith, William E. Leithead, Roderick Mu...
IJCAI
1997
13 years 8 months ago
Probabilistic Partial Evaluation: Exploiting Rule Structure in Probabilistic Inference
Bayesian belief networks have grown to prominence because they provide compact representations of many domains, and there are algorithms to exploit this compactness. The next step...
David Poole
NAACL
2010
13 years 5 months ago
Variational Inference for Adaptor Grammars
Adaptor grammars extend probabilistic context-free grammars to define prior distributions over trees with "rich get richer" dynamics. Inference for adaptor grammars seek...
Shay B. Cohen, David M. Blei, Noah A. Smith
POPL
1997
ACM
13 years 11 months ago
First-class Polymorphism with Type Inference
Languages like ML and Haskell encourage the view of values as first-class entities that can be passed as arguments or results of functions, or stored as components of data struct...
Mark P. Jones