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The Ethereal
Shedding Light on the Asymmetric Learning Capability of AdaBoost
July 08, 2015 ยท Declared Dead ยท ๐ Pattern Recognition Letters
"No code URL or promise found in abstract"
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Authors
Iago Landesa-Vรกzquez, Josรฉ Luis Alba-Castro
arXiv ID
1507.02084
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
cs.CV
Citations
32
Venue
Pattern Recognition Letters
Last Checked
6 months ago
Abstract
In this paper, we propose a different insight to analyze AdaBoost. This analysis reveals that, beyond some preconceptions, AdaBoost can be directly used as an asymmetric learning algorithm, preserving all its theoretical properties. A novel class-conditional description of AdaBoost, which models the actual asymmetric behavior of the algorithm, is presented.
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