ABSTRACT : Extreme Learning Machine (ELM) is a recently discovered way of training Single Layer Feed-forward Neural Networks with an explicitly given solution, which exists

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We also discuss iterated function systems (IFS) of the generalized Cantor sets and higher dimensional fractals such as the square fractal, the Menger sponge and the

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Through experimentations we proofed that using SURF local feature extractor method for image vector representation and SVM (cubic SVM) training classifier performs best

The last type of cross-domain recommendation based on user preference aggre- gation is formed by the approaches that map user preferences from multiple domains to

In this paper, a Hierarchical Pooling based Extreme Learn- ing Machine (HPELM) is proposed for image classification. Extreme Learning Machine based on Local Receptive Fields

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Another approach is presented in [12, 13], where the command structure of Shapley [18] is applied to model players’ interaction relations by simple games. For each player, boss sets

Keywords: maximum power point tracker; solar irradiance classification system; extreme learning machine; support vector

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The research studies the suitability of Extreme Learning Machines (ELM) for resolving bioinformatics and biomedical classification problems. It is used for some direct

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