An Energy-Based Sampling Technique for Multi-Objective Restricted Boltzmann Machine

Vui Ann Shim; Kay Chen Tan; Chun Yew Cheong

doi:10.1109/tevc.2013.2241768

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An Energy-Based Sampling Technique for Multi-Objective Restricted Boltzmann Machine

Vui Ann Shim Kay Chen Tan Chun Yew Cheong

Year: 2013 Journal: IEEE Transactions on Evolutionary Computation Vol: 17 (6)Pages: 767-785 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tevc.2013.2241768

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Abstract

10.1109/TEVC.2013.2241768

Keywords:

Estimation of distribution algorithm Benchmark (surveying) Sampling (signal processing) Evolutionary algorithm Computer science Algorithm Exploit Genetic algorithm Evolutionary computation Mathematical optimization Energy (signal processing) Data mining Mathematics Artificial intelligence Machine learning Statistics

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Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Lattice Boltzmann Simulation Studies

Physical Sciences → Engineering → Computational Mechanics

Model Reduction and Neural Networks

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

An Energy-Based Sampling Technique for Multi-Objective Restricted Boltzmann Machine

Abstract

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Citation History

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