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New multicategory boosting algorithms based on multicategory fisher-consistent losses
Hui Zou
, Ji Zhu, Trevor Hastie
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
73
Scopus citations
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Dive into the research topics of 'New multicategory boosting algorithms based on multicategory fisher-consistent losses'. Together they form a unique fingerprint.
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Mathematics
Boosting
100%
Margin
85%
Loss Function
57%
Binary
27%
Consistency Conditions
23%
Classifier
20%
Classification Problems
20%
Logistic Regression
20%
Convex function
15%
Concepts
9%
Generalization
9%
Class
5%
Business & Economics
Boosting
77%
Margin
64%
Loss Function
62%
Logistic Regression
26%
Classifier
22%
Engineering & Materials Science
Logistic regression
20%
Classifiers
13%