Bridging belief function theory to modern machine learning

April 15, 2015 Β· Declared Dead Β· πŸ› arXiv.org

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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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