Keyphrases
Biomarker Identification
100%
Medical Data
100%
Feature Selection
100%
Feature Generalization
100%
Low-level Features
66%
Proposed Formulation
66%
Higher-level Concept
66%
Clinical Research
33%
Prediction Accuracy
33%
Predictive Modeling
33%
Optimization Problem
33%
Numerical Experiments
33%
Refinery
33%
Learning Process
33%
Disease Status
33%
Mini-Mental State Examination
33%
Computationally Efficient
33%
Mutually Exclusive
33%
Non-overlapping
33%
Selected Features
33%
Asymptotic Behavior
33%
Modeling Method
33%
Real-world Application
33%
Generalization Bounds
33%
Concept Base
33%
Augmented Lagrangian Method
33%
Non-smoothness
33%
Alzheimer's Disease Neuroimaging Initiative
33%
Alzheimer's Disease Assessment Scale
33%
Non-monotone
33%
Non-convexity
33%
Double Sparsity
33%
High-level Features
33%
Efficient Formulation
33%
Robust Features
33%
Feature Construction
33%
Orthogonality Constraint
33%
Smoothness Penalty
33%
Feature Group
33%
Sparsity Optimization
33%
Spectral Projected Gradient Method
33%
Mathematics
Lagrangian
100%
Asymptotic Behavior
100%
Predictive Accuracy
100%
Disease Status
100%
Projected Gradient Method
100%
Predictive Modeling
100%
Feature Construction
100%
Numerical Experiment
100%
Interpretability
100%
Subproblem
100%
Data Mining
100%
Orthogonality
100%
Computer Science
Biomarker Identification
100%
Feature Selection
100%
Feature Extraction
100%
Data Mining
50%
Sparsity
50%
Optimization Problem
50%
Learning Process
50%
Interpretability
50%
World Application
50%
Gradient Method
50%
Predictive Accuracy
50%
Feature Construction
50%
Separate Process
50%
Mental Health
50%
Engineering
Medical Data
100%
Level Feature
100%
Feature Extraction
66%
Numerical Experiment
33%
Optimisation Problem
33%
Lagrangian Method
33%
Real World Application
33%
Subproblem
33%
Separate Process
33%
Sparsity
33%
Orthogonality
33%
Interpretability
33%