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Smooth ε-insensitive regression by loss symmetrization
Ofer Dekel
, Shai Shalev-Shwartz
, Yoram Singer
Computer Science
Center for Statistics & Machine Learning
Research output
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Contribution to journal
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Article
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peer-review
22
Scopus citations
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Keyphrases
Logistic Loss
100%
Classification Algorithms
66%
New Loss Function
33%
New Additives
33%
Parametric Family
33%
Regression Algorithm
33%
Symmetric Loss
33%
Smooth Approximation
33%
Batch Learning
33%
Least Squares Support Vector Regression (LSSVR)
33%
Hinge Loss
33%
Exponentiated Gradient
33%
Online Gradient Descent
33%
Mathematics
Support Vector Machine
50%
Smooth approximation
50%
Batch Learning
50%
Parametric Family
50%