Bridging belief function theory to modern machine learning
April 15, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Thomas Burger
arXiv ID
1504.03874
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Machine learning is a quickly evolving field which now looks really different from what it was 15 years ago, when classification and clustering were major issues. This document proposes several trends to explore the new questions of modern machine learning, with the strong afterthought that the belief function framework has a major role to play.
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