Mathematics
Penalized Regression
96%
Support Vector Machine
93%
Margin
92%
Variable Selection
87%
Feature Selection
87%
Learning
83%
Prediction
82%
Penalty
77%
Pursuit
76%
Regression
75%
Recommender Systems
74%
Model-based Clustering
70%
Regularization
65%
Model Selection
64%
Grouping
62%
Classifier
60%
Sieve
59%
Clustering
59%
Predictors
58%
Microarray Data
57%
Generalization Error
55%
Semi-supervised Learning
55%
Gene
50%
Methodology
49%
Performance
49%
High-dimensional
48%
High-dimensional Data
47%
Directed Acyclic Graph
46%
Demonstrate
45%
Model
43%
Likelihood
40%
Clustering Analysis
39%
Simulation
38%
Parameter Estimation
36%
Microarray
35%
Regression Splines
34%
Graphical Models
34%
Selection Procedures
34%
Gene Networks
34%
Penalization
33%
Genomics
33%
Machine Learning
33%
Hierarchical Classification
32%
Path
32%
Covariance matrix
32%
Alzheimer's Disease
31%
Parameter Space
29%
Pathway
29%
Data Mining
28%
Maximum Likelihood Estimation
28%
Business & Economics
Support Vector Machine
100%
Feature Selection
85%
Classifier
60%
Regularization
60%
Model Selection
57%
Graph
54%
Variable Selection
53%
Gene
47%
Splines
46%
Prediction
44%
Margin
42%
Recommender Systems
42%
Inference
42%
Directed Acyclic Graph
40%
Maximum Likelihood
38%
Predictors
37%
Spline Regression
37%
Maximum Likelihood Estimation
37%
Parameter Estimation
37%
Simulation
35%
Clustering
33%
Data Mining
32%
Penalty
31%
Machine Learning
31%
Grouping
30%
Sample Size
30%
Graphical Models
30%
Gene Expression
29%
Microarray
28%
Asymptotic Normality
28%
Likelihood Ratio Test
28%
Posterior Distribution
26%
Random Error
25%
Confounding
25%
Matrix
24%
Methodology
23%
Linear Regression
23%
Competitors
23%
Latent Factor Models
21%
Gaussian Mixture Model
21%
Perturbation
20%
Pathway
19%
Performance
18%
Instrumental Variables
17%
Semiparametric Regression
17%
High Performance
17%
Asymptotic Distribution
16%