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Efficient regularized least squares classification
Peng Zhang,
Jing Peng
Computer Science
Research output
:
Contribution to journal
›
Conference article
›
peer-review
2
Scopus citations
Overview
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Dive into the research topics of 'Efficient regularized least squares classification'. Together they form a unique fingerprint.
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Keyphrases
Regularized Least Square Algorithm
100%
Regularized Least Squares Classifier
100%
Support Vector Machine
66%
Regularized Least Squares
66%
Minimization Problem
33%
Mathematical Foundations
33%
Training Points
33%
Simulated Dataset
33%
Risk Minimization
33%
Kernel Trick
33%
Sparse Representation
33%
Regularized Functional
33%
Reproducing Kernel Hilbert Space
33%
Performance Level
33%
Kernel-based Regularized Least Squares
33%
Structures at Risk
33%
Hand Support
33%
Computer Science
Least Squares Method
100%
Support Vector Machine
33%
Simulated Data
16%
Sparse Representation
16%
Reproducing Kernel
16%
Hilbert Space
16%
Training Point
16%
Risk Minimization
16%
Mathematics
Least Square
100%
Support Vector Machine
33%
Minimizes
16%
Hilbert Space
16%
Nonlinear Case
16%
Simulated Data Set
16%