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» Learning Equivalence Classes of Bayesian Network Structures
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ICASSP
2011
IEEE
14 years 1 months ago
Factor graph-based structural equilibria in dynamical games
Correlated equilibria are a generalization of Nash equilibria that permit agents to act in a correlated manner and can therefore, model learning in games. In this paper we define...
Liming Wang, Vikram Krishnamurthy, Dan Schonfeld
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 10 months ago
How social structure and institutional order co-evolve beyond instrumental rationality
This study proposes an agent-based model where adaptively learning agents with local vision who are situated in the Prisoner’s Dilemma game change their strategy and location as...
Jae-Woo Kim
WEBI
2004
Springer
15 years 2 months ago
A Web-Based Intelligent Tutoring System for Computer Programming
Web Intelligence is a direction for scientific research that explores practical applications of Artificial Intelligence to the next generation of Web-empowered systems. In this ...
Cory J. Butz, Shan Hua, R. Brien Maguire
ENGL
2007
148views more  ENGL 2007»
14 years 9 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook