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...

Full description

Bibliographic Details

Published in:	Computers (Basel) Vol. 5; no. 1; p. 1
Main Author:	Bouneffouf, Djallel
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.03.2016
Subjects:	active learning Algorithms Boundaries Exploration exploration and exploitation exponentiated gradient Learning Mathematical models Optimization Strategy Tasks
ISSN:	2073-431X, 2073-431X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!