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Fast probabilistic prediction for kernel SVM via enclosing balls
Nery Riquelme-Granada
, Khuong An Nguyen
, Zhiyuan Luo
Research output
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Contribution to conference
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peer-review
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Keyphrases
Probabilistic Prediction
100%
Enclosing Ball
100%
Kernel Support Vector Machine
100%
Support Vector Machine
66%
Venn-Abers
66%
One-point
33%
Computational Complexity
33%
Scoring Classifier
33%
Feature Space
33%
Computational Geometry
33%
Label Distribution
33%
Probabilistic Output
33%
Probability Calibration
33%
Prediction Score
33%
Average Acceleration
33%
Venn Predictors
33%
Small Data
33%
Large-scale Dataset
33%
Computer Science
Support Vector Machine
100%
Probability
50%
Computational Complexity
25%
Feature Space
25%
Dimensional Object
25%
Label Distribution
25%
Computational Geometry
25%