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» Network Structuring and Training Using Rule-Based Knowledge
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BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
A methodology for the structural and functional analysis of signaling and regulatory networks
Background: Structural analysis of cellular interaction networks contributes to a deeper understanding of network-wide interdependencies, causal relationships, and basic functiona...
Steffen Klamt, Julio Saez-Rodriguez, Jonathan A. L...
CVPR
2008
IEEE
15 years 11 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
ISWC
2003
IEEE
15 years 2 months ago
Sensing and Modeling Human Networks using the Sociometer
Knowledge of how people interact is important in many disciplines, e.g. organizational behavior, social network analysis, information diffusion and knowledge management applicatio...
Tanzeem Choudhury, Alex Pentland
ICML
2005
IEEE
15 years 10 months ago
Learning the structure of Markov logic networks
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...
Stanley Kok, Pedro Domingos
EXACT
2007
14 years 12 months ago
A Discourse Approach to Explanation Aware Knowledge Representation
This study describes a discourse approach to explanation aware knowledge representation. It presents a reasoning model that adheres to argumentation as found in written discourse,...
Andrew Potter