Exponentiated Gradient Exploration for Active Learning

Active learning strategies respond to the costly labeling task in a supervised classification by selecting the most useful unlabeled examples in training a predictive model. Many conventional active learning algorithms focus on refining the decision boundary, rather than exploring new regions that c...

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Vydané v:	Computers (Basel) Ročník 5; číslo 1; s. 1
Hlavný autor:	Bouneffouf, Djallel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.03.2016
Predmet:	active learning Algorithms Boundaries Exploration exploration and exploitation exponentiated gradient Learning Mathematical models Optimization Strategy Tasks
ISSN:	2073-431X, 2073-431X
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