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Feature selection and parameter optimization for support vector machines using particle swarm optimization and harmony search
Jihee Han,
Yoonho Seo
Research output
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Contribution to journal
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Review article
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peer-review
2
Citations (Scopus)
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Dive into the research topics of 'Feature selection and parameter optimization for support vector machines using particle swarm optimization and harmony search'. Together they form a unique fingerprint.
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Keyphrases
Support Vector Machine
100%
Harmony Search
100%
Feature Optimization
100%
Particle Swarm Optimization
100%
Optimization Search
100%
Feature Parameter Optimization
100%
Process Optimization
12%
Performance Evaluation
12%
Statistical Significance
12%
Classification Accuracy
12%
Classification Problem
12%
Parameter Values
12%
Accuracy Rate
12%
All-solution-processed
12%
Diverse Solutions
12%
Feature Subset
12%
Feature Parameter
12%
Computer Science
Support Vector Machine
100%
Harmony Search
100%
Feature Selection
100%
Particle Swarm Optimization
100%
Feature Extraction
100%
Performance Evaluation
12%
Classification Accuracy
12%
Classification Problem
12%
Parameter Value
12%