Computer Science
Support Vector Machine
100%
Feature Selection
42%
Data Classification
28%
High Dimensional Data
28%
Microarray Data Analysis
28%
Public Transportation
28%
Binary Classification
28%
Feature Extraction
28%
Piecewise Polynomial
22%
Predictor Variable
21%
Microarray Data
14%
Physical Aspect
14%
Environmental Aspect
14%
Sectional Design
14%
World Health Organization
14%
Indirect Effect
14%
Health Condition
14%
Finite Impulse Response
10%
Classification Problem
7%
Classification Accuracy
7%
Dimensionality Reduction
7%
Hamming Window
7%
Performance Analysis
7%
Clinical Setting
7%
Secondary Data
7%
Preprocessing
7%
And-States
7%
Selection Process
7%
Cognitive Research
7%
Early Detection
7%
Potential Application
7%
Filtering Method
7%
Mathematics
Proportional Hazards Model
57%
Logistic Regression
57%
Propensity Score Matching
28%
Dimensional Data
28%
Support Vector Machine
28%
Copula
28%
Bivariate
28%
Parameter Log
28%
Proportional Hazard
20%
Response Variable
19%
Covariate
15%
Rank Test
14%
Binary Logistic Regression
9%
Confounding
9%
Loglogistic Distribution
9%
Diastolic Blood Pressure
9%
Systolic Blood Pressure
9%
Predictor Variable
9%
Statistical Hypothesis Testing
9%
Gaussian Distribution
9%
significance level α
9%
Skewness
9%
Parameter Estimate
9%
Test Hypothesis
9%
Continuous Data
9%
Polynomial
8%
Spline
5%
Dependence Structure
5%
Event Time
5%
Marginal Model
5%
Survival Time
5%
Survival Model
5%
Engineering
Support Vector Machine
42%
Feature Extraction
42%
Water Resource
28%
Disaster Management
28%
Microarrays
28%
Predictor Variable
21%
Selection Method
14%
Dimensionality
14%
Classification Accuracy
7%
Early Detection
7%
Everyday Life
7%
Potential Application
7%
Selection Process
7%
Performance Analysis
7%
Classification Problem
7%
Hamming Window
7%
Finite Impulse Response
7%