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DCSVM: fast multi-class classification using support vector machines
Duleep Rathgamage Don
,
Ionut E. Iacob
Mathematical Sciences
Georgia Southern University
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Scopus citations
Overview
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Dive into the research topics of 'DCSVM: fast multi-class classification using support vector machines'. Together they form a unique fingerprint.
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Computer Science
Support Vector Machine
100%
Multi Class Classification
100%
Multiclass Classification
100%
Binary Decision
50%
Sparsity
33%
Final Decision
33%
binary classifier
33%
Efficient Algorithm
16%
Training Dataset
16%
Classification Technique
16%
Divide-and-Conquer Algorithm
16%
Dimensionality Increase
16%
Single Prediction
16%
Disjoint Subset
16%
Candidate Class
16%
Practical Interest
16%
High Dimensional Space
16%
Binary Classification
16%
Engineering
Multiclass Classification
100%
Support Vector Machine
100%
Sparsity
33%
Case Scenario
33%
Dimensionality
16%
Dimensional Space
16%