By Mark Girolami
It covers themes corresponding to using hidden Markov tools, the independence assumption, and topographic ICA, and comprises instructional chapters on Bayesian and variational ways. It additionally presents the most recent methods to ICA difficulties, together with an research into convinced "hard difficulties" for the first actual time.
Comprising contributions from the main revered and leading edge researchers within the box, this quantity can be of curiosity to scholars and researchers in machine technological know-how and electric engineering; study and improvement body of workers in disciplines resembling statistical modelling and knowledge research; bio-informatic employees; and physicists and chemists requiring novel information research methods.
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