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» Evolving neural network ensembles for control problems
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CMOT
1999
143views more  CMOT 1999»
13 years 7 months ago
Structural Learning: Attraction and Conformity in Task-Oriented Groups
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...
James A. Kitts, Michael W. Macy, Andreas Flache
DIS
2009
Springer
14 years 2 months ago
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
Abstract. Information networks, such as social networks and that extracted from bibliographic data, are changing dynamically over time. It is crucial to discover time-evolving comm...
Min-Soo Kim 0002, Jiawei Han
BIRTHDAY
2005
Springer
14 years 1 months ago
Planning in Answer Set Programming using Ordered Task Decomposition
abstract. In this paper we investigate a formalism for solving planning problems based on ordered task decomposition using Answer Set Programming (ASP). Our planning methodology is...
Jürgen Dix, Ugur Kuter, Dana S. Nau
BMCBI
2007
136views more  BMCBI 2007»
13 years 7 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
CEC
2008
IEEE
14 years 2 months ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...