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ICANN
2001
Springer
15 years 4 months ago
Market-Based Reinforcement Learning in Partially Observable Worlds
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber
NN
2008
Springer
146views Neural Networks» more  NN 2008»
14 years 11 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir
IPPS
1998
IEEE
15 years 4 months ago
Artificial Neural Networks on Reconfigurable Meshes
:Artificial neural networks(ANN) have been used successfully in applications such as pattern recognition, image processing, automation and control. Majority of today's applica...
Jing-Fu Fu Jenq, Wing Ning Li
WWW
2008
ACM
16 years 15 days ago
Integrating the IAC neural network in ontology mapping
Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. This paper proposes a neural network based approach to search for a globa...
Ming Mao, Yefei Peng, Michael Spring
IJNS
2010
106views more  IJNS 2010»
14 years 10 months ago
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
Qiumei Cong, Wen Yu, Tianyou Chai