Generating virtual images for promoting visual artificial intelligence
Abstract
Multi-label learning methods can be categorised into algorithm adaptation, problem transformation and ensemble methods. Some of these methods depend on a base classifier and the relationship is not well understood. In this paper the sensitivity of five problem transformation and two ensemble methods to four types of classifiers is studied. Their performance across 11 benchmark datasets is measured using 16 evaluation metrics. The best classifier...
Paper Details
Title
Generating virtual images for promoting visual artificial intelligence
Published Date
Jun 1, 2020
Journal
Volume
394
Pages
112 - 113
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