Keyphrases
Regularization Method
100%
AD Diagnosis
100%
Multi-relation
100%
Feature Selection
66%
L1-norm
66%
Alzheimer's Disease Diagnosis
33%
Alzheimer's Disease Neuroimaging Initiative
33%
Correlation Coefficient
33%
State-of-the-art Techniques
33%
Clinical Score
33%
Least Squares Support Vector Regression (LSSVR)
33%
Classification Accuracy
33%
Disease Status
33%
Root Mean Square Error
33%
Classification Model
33%
Area under the Receiver Operating Characteristic Curve
33%
Mini-Mental State Examination
33%
Sensitivity Specificity
33%
Support Vector Classification
33%
Response Relationship
33%
Sensitivity Area
33%
Weight Coefficient
33%
Alzheimer's Disease Assessment Scale-Cognitive Subscale
33%
Status Identification
33%
Relational Information
33%
Joint Regression
33%
Clinical Prediction Score
33%
Joint Classification
33%
Relationship Characteristics
33%
Relational Features
33%
Feature Relation
33%
Least Squares Regression
33%
Optimal Weight Coefficient
33%
Computer Science
Regularization Method
100%
Feature Selection
66%
Feature Extraction
66%
Experimental Result
33%
Support Vector
33%
Least Squares Method
33%
Support Vector Regression
33%
Classification Accuracy
33%
Classification Models
33%
Objective Function
33%
Characteristic Curve
33%
Root Mean Squared Error
33%
Mathematics
Regularization
100%
Support Vector Machine
66%
Objective Function
33%
Disease Status
33%
correlation coefficient ρ
33%
Least Square
33%
Regression Model
33%
Squared Error
33%
Characteristic Curve
33%
Square Regression
33%