159 search results - page 9 / 32 » Bayesian Networks Optimization Based on Induction Learning T... |
BMCBI
2010
13 years 6 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
SKG
2006
IEEE
14 years 21 days ago
2006
IEEE
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
DAC
2003
ACM
14 years 7 months ago
2003
ACM
Functional verification is widely acknowledged as the bottleneck in the hardware design cycle. This paper addresses one of the main challenges of simulation based verification (or...