Keyphrases
Feature Selection Methods
100%
Generalized Normal Distribution
100%
Distribution Algorithm
100%
Generalized Normal Distribution Optimization
100%
Classification Accuracy
75%
Preprocessing Techniques
50%
Optimization Algorithm
25%
Feature Selection
25%
Update Mechanism
25%
Computational Cost
25%
Continuous Values
25%
Selected Features
25%
Redundancy
25%
Transfer Function
25%
Machine Learning Classifiers
25%
UCI Dataset
25%
Convergence Rate
25%
Irrelevance
25%
Local Minima
25%
High Ability
25%
Binary Variants
25%
Fitness Value
25%
Effective Feature
25%
Restarting Strategy
25%
Binary Values
25%
Fitness Assignment
25%
Combinatorial Classification
25%
Arctangent
25%
Computer Science
Feature Extraction
100%
Feature Selection
100%
Normal Distribution
100%
Classification Accuracy
50%
Machine Learning
16%
Learning System
16%
Optimization Algorithm
16%
Computational Cost
16%
Local Minimum
16%
Transfer Function
16%
Preprocessing
16%
Preprocessing Technique
16%