Titlebook: Nature-Inspired Computation and Machine Learning; 13th Mexican Interna Alexander Gelbukh,Félix Castro Espinoza,Sofía N. G Conference procee

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Wind Power Forecasting Using Dynamic Bayesian Modelso approximate this model, based on historical information in the form of time series. The DBN structure and parameters are learned from historical data, and this methodology can be applied to any prediction problem. In contrast to previous approaches, the proposed model considers all the relevant va

OGLE

expire

archaeology

ccurate nonadiabatic molecular dynamics with and without cla.This book shows how to derive the simple and accurate semiclassical methods analytically and its applications to excited-state molecular dynamics and spectroscopy simulation with and without classical trajectories. It consists of eight cha

新字

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HILAR

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Bombast

0302-9743 ce, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers