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GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 10 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
KI
2010
Springer
15 years 4 months ago
Situation-Specific Intention Recognition for Human-Robot Cooperation
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...
Peter Krauthausen, Uwe D. Hanebeck
RECOMB
2004
Springer
16 years 6 months ago
Modeling and Analysis of Heterogeneous Regulation in Biological Networks
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Irit Gat-Viks, Amos Tanay, Ron Shamir
ICC
2009
IEEE
190views Communications» more  ICC 2009»
16 years 26 days ago
Decomposition for Low-Complexity Near-Optimal Routing in Multi-Hop Wireless Networks
Abstract—Network flow models serve as a popular mathematical framework for the analysis and optimization of Multi-hop Wireless Networks. They also serve to provide the understan...
Vinay Kolar, Nael B. Abu-Ghazaleh, Petri Mäh&...
FLAIRS
2007
15 years 8 months ago
A Morphological Neural Network Approach to Information Retrieval
We investigate the use of a morphological neural network to improve the performance of information retrieval systems. A morphological neural network is a neural network based on l...
Christian Roberson, Douglas D. Dankel II