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FSOCP: feature selection via second-order cone programming
Buse Çisil Güldoğuş
,
Süreyya Özögür-Akyüz
Mathematics
Research output
:
Contribution to journal
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Article
›
peer-review
2
Citations (Scopus)
Overview
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Keyphrases
Feature Selection
100%
Second-order Cone Programming
100%
Feature Selection Methods
66%
Neural Network
33%
Classification Accuracy
33%
Second-order Conic Programming
33%
Performance Prediction
16%
Operations Research
16%
Ensemble Pruning
16%
Class Distribution
16%
Optimal Subset
16%
Synthetic Data
16%
Class Prediction
16%
Programming Algorithm
16%
High-dimensional Data
16%
Programming Model
16%
Probability Class
16%
Embedded Feature Selection
16%
Computer Science
Feature Selection
100%
Feature Extraction
100%
Conic Programming
20%
Classification Accuracy
20%
Neural Network
20%
Programming Model
10%
High Dimensional Data
10%
Inspired Algorithm
10%
Class Distribution
10%
Predictive Performance
10%
Dimensional Data Set
10%
Class Prediction
10%
Synthetic Data
10%