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multivariate multiple linear regression with an additional constraint that the coefficient matrix should be of low rank. It allows to investigate how one multivariate …
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a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments.
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the collective name for a set of language modeling and feature learning techniques in NLP where words are mapped to vectors of real numbers in a low dimensional space, relative to th…
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Relative distribution methods, plots and decompositions, as discussed in Mark S. Handcock and Martina Morris: Relative Distribution Methods in the Social Sciences (Springer).
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Techniques for combining the outcomes of several independent hypothesis tests with the same null hypothesis into one aggregate outcome. There exist various methods that take a set of $p$-values from …
created Aug 12 at 9:29
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In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by b…
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Adaptive Boosting meta-algorithm
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