Computer Science
Feature Selection
100%
Feature Extraction
83%
Support Vector Machine
75%
Leaning Parameter
58%
Prediction Model
50%
Search Space
41%
Optimization Algorithm
41%
Majority Voting
33%
Decision Tree
33%
Optimum Solution
25%
Prediction Performance
25%
Global Optimal Solution
25%
Multiobjective
16%
Categorical Data
16%
Data Preprocessing
16%
Preprocessing Phase
16%
Data Mapping
16%
Random Forest Classifier
16%
Conventional Method
16%
Random Decision Forest
16%
Machine Learning
16%
Classification Method
8%
Decision Table
8%
Search Strategy
8%
Fitness Function
8%
Ensemble Technique
8%
Parameter Value
8%
Training Dataset
8%
Normal Distribution
8%
Feature Vector
8%
Computer Aided Design
8%
Multi-Classifiers
8%
Classification Performance
8%
Deep Learning Method
8%
Nave Bayes
8%
Convolutional Neural Network
8%
Performance Evaluation
8%
Density Function
8%
Fuzzy AHP
8%
Extreme Gradient Boosting
8%
local feature
8%
Aided Diagnosis
8%
Training Phase
8%
Selection Process
8%
Artificial Neural Network
8%
Iterative Process
8%
Engineering
Feature Extraction
100%
Search Space
41%
Step Size α
33%
Random Forest
33%
Optimum Solution
25%
Prediction Performance
25%
Local Optimum
25%
Preprocessing Phase
16%
Data Preprocessing
16%
Conventional Method
16%
Metrics
16%
Optimization Method
16%
Multiobjective Problem
16%
Optimization Approach
16%
Dimensional Feature Space
16%
Selection Method
16%
Data Point
16%
Optimal Feature
16%
Classification Method
8%
Dimensional Space
8%
Computer Aided Diagnosis
8%
Computer Aided Design
8%
Normal Distribution
8%
Dimensionality
8%
Synthetic Aperture Radar
8%
Convolutional Neural Network
8%
Decision Parameter
8%
Selection Process
8%
Search Strategy
8%
Hazardous Materials Spills
8%
Fitness Function
8%
Deep Learning Method
8%
Iterative Process
8%
Artificial Neural Network
8%
Gaussians
8%
Nonlinear Feature
8%
Leukocyte
8%
Gauss
8%
Feature Vector
8%
Classification Performance
8%
Limitations
8%
Bayes Theorem
8%
Xgboost
8%
Biochemistry, Genetics and Molecular Biology
Solution and Solubility
100%
Feature Extraction
63%
Decision Tree
21%
Random Forest
21%
Gaussian Distribution
10%
Artificial Neural Network
5%
RNA
5%
Genomics
5%
Structure Activity Relationship
5%
Leukocyte
5%
Cell Growth
5%
Bayesian Learning
5%
Xgboost
5%