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pro vyhledávání: '"del Coz, Juan José"'
Quantification, also known as class prevalence estimation, is the supervised learning task in which a model is trained to predict the prevalence of each class in a given bag of examples. This paper investigates the application of deep neural networks
Externí odkaz:
http://arxiv.org/abs/2403.15123
Several disciplines, like the social sciences, epidemiology, sentiment analysis, or market research, are interested in knowing the distribution of the classes in a population rather than the individual labels of the members thereof. Quantification is
Externí odkaz:
http://arxiv.org/abs/2401.00490
Classifier chains have recently been proposed as an appealing method for tackling the multi-label classification task. In addition to several empirical studies showing its state-of-the-art performance, especially when being used in its ensemble varia
Externí odkaz:
http://arxiv.org/abs/1906.02915
Akademický článek
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Publikováno v:
In Engineering Applications of Artificial Intelligence October 2017 65:406-420
Publikováno v:
In Information Fusion March 2017 34:87-100
Publikováno v:
In Information Sciences 1 February 2016 329:20-32
Publikováno v:
In Information Sciences 20 February 2013 223:42-55
Publikováno v:
International Journal for Simulation and Multidisciplinary Design Optimization, Vol 2, Iss 3, Pp 237-244 (2008)
Over the last 10 years, the need to guarantee safety in the habitability of buildings has led to the development of different models (which are usually classified either as optimization, simulation, or risk assessment approaches) that help define how
Externí odkaz:
https://doaj.org/article/092ccb23e46d48ef827ffe549012d974
Publikováno v:
In Expert Systems With Applications 2008 34(2):1274-1284