Keyphrases
Feature Selection
72%
Penalized Regression
67%
Parameter Estimation
53%
Support Vector Machine
40%
Genome-wide Association Study
39%
Difference of Convex Functions
39%
Simulation Study
36%
Optimal Model Selection
34%
Directed Acyclic Graph
34%
High-dimensional Data
34%
Multicategory
34%
Nonconvex
32%
Model-based Clustering
31%
Prediction Accuracy
31%
Large Margin
29%
Rare Variants
29%
Generalization Error
29%
Convergence Rate
28%
Penalized Models
27%
Recommender Systems
27%
Undirected Graph
26%
One-class Support Vector Machine (OCSVM)
24%
Proposed Methodology
24%
Single nucleotide Polymorphism
24%
Covariance Matrix
23%
Model Selection Strategy
22%
High Performance
21%
Splines
21%
Adaptive Test
21%
Operating Characteristics
21%
Principal Coordinate Analysis (PCoA)
21%
Gene Network
20%
Alzheimer's Disease
20%
Individualized Prediction
20%
Linear Regression
20%
Parameter Space
20%
Regularization Method
20%
Maximum Likelihood Estimation
20%
Solution Path
19%
Microarray Data
19%
Constrained Maximum Likelihood
19%
Data-adaptive
19%
Generalized Degrees of Freedom
19%
Likelihood Ratio
19%
Machine Data
18%
Penalization
18%
Regression Splines
18%
Semi-supervised Learning
18%
Transcriptome-wide Association Study
18%
Constrained Likelihood
18%
Mathematics
Parameter Estimation
62%
Regularization
62%
Dimensional Data
55%
Model Selection
54%
Support Vector Machine
32%
Model-Based Clustering
31%
Degree of Freedom
29%
Gaussian Distribution
29%
Simulation Study
27%
Convex Programming
25%
Maximum Likelihood
25%
Least Square
25%
Linear Regression Analysis
25%
Spline
24%
Regression Coefficient
24%
Covariance Matrix
24%
Covariate
23%
Statistical Hypothesis Testing
23%
Directed Acyclic Graph
22%
Approximates
22%
Asymptotics
22%
Statistics
22%
Parameter Space
21%
Statistical Test
21%
Graphical Model
20%
Score Test
20%
Model Selection Criterion
19%
Simulated Data
19%
Alternating Direction Method of Multipliers
19%
Parametric
19%
Matrix
18%
Convex Function
18%
Regression Model
17%
Real Data
16%
Asymptotic Normality
16%
Convergence Rate
16%
Maximum Likelihood Estimate
15%
Supplementary Material
15%
Confounders
15%
Random Error
15%
Diagonal
15%
Cost Function
15%
Numerical Example
15%
Confounding
14%
Neural Network
14%
Synthetic Data
14%
Maximum Likelihood
14%
Class Label
13%
Conditionals
13%
Curse of Dimensionality
13%
Computer Science
Feature Selection
100%
Feature Extraction
73%
Support Vector Machine
55%
Recommender Systems
32%
Semisupervised Learning
27%
Directed Graphs
23%
Parameter Estimation
23%
Regularization
22%
High Dimensional Data
20%
Training Sample
20%
Convex Programming
19%
Efficient Algorithm
19%
Supplementary Material
19%
Generalization Error
19%
Simulation Study
19%
Convex Function
18%
Classification
18%
Machine Learning
17%
Learning System
17%
Prediction Function
16%
Principal Components
15%
Unlabeled Data
15%
Computational Complexity
15%
Directed Acyclic Graph
13%
Least Squares Methods
12%
Unstructured Data
12%
Regression Method
12%
Category Learning
12%
False Positive
12%
False Negative
12%
Alternating Direction Method of Multipliers
11%
Optimization Algorithm
11%
Prediction Accuracy
10%
Component Analysis
9%
Sparsity
9%
maximum-likelihood
9%
Neuroimaging Data
9%
Data Mining
9%
Supervised Learning
9%
Optimal Performance
9%
Parameter Estimate
9%
Latent Variable Model
9%
Simulated Data
8%
Gaussian Mixture Model
8%
User Preference
8%
Gene Expression Data
8%
Sentiment Analysis
8%
Causal Relationship
8%
Experimental Result
8%
Learning Approach
8%
