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SARA
2007
Springer
16 years 14 days ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
ECAL
2007
Springer
15 years 10 months ago
Energy Flows and Maximum Power on an Evolutionary Ecological Network Model
Energy flows in ecological systems which are determined by the structure of the ecological network influence the evolution of the network itself. The total system energy throughflo...
Jiang Zhang
HIS
2008
15 years 7 months ago
Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis
The performance of Artificial Neural Networks is largely influenced by the value of their parameters. Among these free parameters, one can mention those related with the network a...
André L. D. Rossi, André C. P. L. F....
ECAI
2010
Springer
15 years 6 months ago
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks
Abstract. Algorithms for probabilistic inference in Bayesian networks are known to have running times that are worst-case exponential in the size of the network. For networks with ...
Johan Kwisthout, Hans L. Bodlaender, Linda C. van ...
AI
2002
Springer
15 years 6 months ago
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
Christel Kemke