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Reinforcement learning using expectation maximization based guided policy search for stochastic dynamics

Affective analysis of visual scenes using face pareidolia and scene-context

A multi-layer fuzzy model based on fuzzy-rule clustering for prediction tasks

Cooperative output regulation of linear discrete-time time-delay multi-agent systems by adaptive distributed observers

An extended dictionary representation approach with deep subspace learning for facial expression recognition

Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming

Improving k-means through distributed scalable metaheuristics

An alternative way of presenting statistical test results when evaluating the performance of stochastic approaches

Evolutionary algorithm and decisional DNA for multiple travelling salesman problem

Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment

Extreme learning machine based genetic algorithm and its application in power system economic dispatch

GDTW-P-SVMs: variable-length time series analysis using support vector machines

Decisional DNA: a multi-technology shareable knowledge structure for decisional experience

Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function

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