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combining Multi-attribute Utility Theory with Entropy and Information Gain concepts and computational modeling through …
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efficiently with phase shifts, dyadic-length and boundary effects. It also proposes a new entropy-based methodology for the …
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absolute percentage error (MAPE), symmetric mean absolute percentage error (sMAPE), and Shannon entropy (SE), clearly …
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optimizer. The mathematical motivation for such hybrid networks is presented, using the Kolmogorov theory of metric entropy. As …
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