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pro vyhledávání: '"Inácio, Marco Henrique de Almeida"'
Given two samples from two populations, one could ask how similar the populations are, that is, how close their probability distributions are. For absolutely continuous distributions, one way to measure the proximity of such populations is to use a m
Autor:
Inácio, Marco Henrique de Almeida, Izbicki, Rafael, Lopes, Danilo Lourenço, Salasar, Luis Ernesto, Poloniato, João, Diniz, Marcio Alves
The FIFA Men's World Cup Tournament (WCT) is the most important football (soccer) competition, attracting worldwide attention. A popular practice among football fans in Brazil is to organize contests in which each participant informs guesses on the f
Externí odkaz:
http://arxiv.org/abs/2008.13005
An important feature of successful supervised machine learning applications is to be able to explain the predictions given by the regression or classification model being used. However, most state-of-the-art models that have good predictive power lea
Externí odkaz:
http://arxiv.org/abs/1910.05206
Given two distinct datasets, an important question is if they have arisen from the the same data generating function or alternatively how their data generating functions diverge from one another. In this paper, we introduce an approach for measuring
Externí odkaz:
http://arxiv.org/abs/1909.07182
Conditional independence testing is a key problem required by many machine learning and statistics tools. In particular, it is one way of evaluating the usefulness of some features on a supervised prediction problem. We propose a novel conditional in
Externí odkaz:
http://arxiv.org/abs/1908.00105
Stacking methods improve the prediction performance of regression models. A simple way to stack base regressions estimators is by combining them linearly, as done by \citet{breiman1996stacked}. Even though this approach is useful from an interpretati
Externí odkaz:
http://arxiv.org/abs/1906.09735
Publikováno v:
In Neurocomputing 25 July 2020 399:141-152
Akademický článek
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