Mathematics
Classification
50%
Nearest Neighbor
44%
Excess Risk
33%
Minimax
30%
Transfer Learning
25%
Subgroup
25%
Selection
25%
Missing Data
25%
Training Set
25%
Ensemble Model
25%
Flexible Approach
25%
Predictive Performance
25%
Test Set
25%
Characteristic Curve
25%
Relative Importance
25%
Singular Vector
25%
Projection Direction
25%
Sample Size
20%
Regression Function
18%
Probability Theory
16%
Algorithm
16%
Feature Space
12%
Population Level
12%
Real Data
12%
Simulated Data
12%
Regression Function
12%
Marginal Distribution
10%
Classes
9%
Simulation Study
9%
Discriminant Analysis
8%
Functions
8%
Complete Case
6%
Treatment Effect
6%
Dependent Data
6%
Parameters
6%
Constrained Optimization
6%
Constraints
6%
Marginals
6%
Missingness
6%
Zeros
6%
Binary Classification
5%
Bayes Decision
5%
Tail Parameter
5%
Class Label
5%
Asymptotic Expansion
5%
Points
5%
Regularity Condition
5%
Target Population
5%
Optimality
5%
Decision Tree
5%
Computer Science
Classification
100%
Random Projection
75%
Classifier
61%
Contexts
30%
Base Classifier
26%
Identification
25%
Transfer Learning
25%
Machine Learning
25%
Correlation
25%
Characteristic Curve
25%
Feature Vector
17%
Lower Dimensional Space
13%
High Dimensional Data
13%
Source Distribution
10%
Algorithms
10%
Convergence
9%
Simulation Study
9%
Classes
9%
Support Vector Machine
8%
Linear Discriminant Analysis
8%
Asymptotics
6%
Machine Learning Technique
5%
Target Distribution
5%
Boundary Condition
5%
Binary Classification
5%
Dependent Covariate
5%
Data Dimension
5%
Dimension Reduction
5%
Cancer Patient
5%
Target Population
5%
Research Worker
5%
Clinical Setting
5%
Transformations
5%
Decision Trees
5%
Decision Boundary
5%
High Dimensionality
5%
Potential Benefit
5%
Procedures
5%
Events
5%
Generation
5%
Application
5%
Accuracy
5%
Social Sciences
Poverty
35%
Conflict
25%
Identification
25%
Western
25%
Child
25%
Deprivation
10%
Approach
9%
Children with Disabilities
8%
Information
8%
Indexes
6%
National Surveys
5%
