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Feature reduction based on Sum-Of-SNR (SOSNR) optimization
Yinan Yu
, Tomas McKelvey
,
S. Y. Kung
Electrical and Computer Engineering
Center for Statistics & Machine Learning
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Keyphrases
Sparsity
100%
Signal-to-noise Ratio
100%
Dimensionality Reduction
100%
Computational Complexity
100%
Machine Learning Techniques
100%
Number of Features
100%
Deflation
100%
Combinatorial Classification
100%
Classification Accuracy
100%
Data Transformation
100%
Feature Dimension
100%
UCI Dataset
100%
Class Separability
100%
Feature Reduction
100%
Classification Data
100%
SNR Optimization
100%
Computer Science
Sparsity
100%
Computational Complexity
100%
Machine Learning Technique
100%
Classification Accuracy
100%
Feature Reduction
100%
Dimensionality Reduction
100%
Data Transformation
100%
Feature Dimension
100%
Independent Criterion
100%
Signal-to-Noise Ratio
100%
Economic Recession
100%