Sciweavers

1316 search results - page 19 / 264
» Comparing mathematical models on the problem of network infe...
Sort
View
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 3 months ago
Inference of genetic networks using S-system: information criteria for model selection
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...
Nasimul Noman, Hitoshi Iba
AAAI
2011
13 years 11 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
JOCN
2010
86views more  JOCN 2010»
14 years 10 months ago
Neural Basis of Repetition Priming during Mathematical Cognition: Repetition Suppression or Repetition Enhancement?
■ We investigated the neural basis of repetition priming (RP) during mathematical cognition. Previous studies of RP have focused on repetition suppression as the basis of behavi...
Valorie N. Salimpoor, Catie Chang, Vinod Menon
EOR
2007
84views more  EOR 2007»
14 years 11 months ago
The multi-layered network design problem
act 11 We address the problem of designing a network built on several layers. This problem occurs in practical applications 12 but has not been studied extensively from the point o...
Arnaud Knippel, Benoit Lardeux
JMLR
2011
145views more  JMLR 2011»
14 years 6 months ago
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
Jim C. Huang, Brendan J. Frey