From Gaussian kernel density estimation to kernel methods

Keyphrases

• Kernel Methods 100%
• Gaussian Kernel Density Estimation 100%
• Support Vector Machine 60%
• Least Squares Support Vector Regression (LSSVR) 60%
• Minimal Enclosing Ball 60%
• Fuzzy Systems 40%
• Support Vector Data Description 40%
• Modeling Method 20%
• Privacy-preserving 20%
• Machine Modeling 20%
• Zero Order 20%
• Probabilistic Systems 20%
• Classification Task 20%
• Criteria-based 20%
• Machine Learning Techniques 20%
• Decision Boundary 20%
• Error Criterion 20%
• Binary Classification 20%
• Mapping Function 20%
• Takagi-Sugeno-Kang (TSK) Fuzzy System 20%
• Prior Probability 20%
• Regression Problem 20%
• Gaussian Density 20%
• Density Kernel 20%
• Bayesian Classifier 20%
• Classification Datasets 20%
• Integrated Squared Error 20%
• Kernel Classifier 20%
• Systems-based 20%
• Classification Basis 20%
• Privacy-preserving Cloud 20%

Computer Science

• Kernel Method 100%
• Gaussian Kernel 100%
• Support Vector Regression 60%
• Support Vector Machine 60%
• Privacy Preserving 40%
• Support Vector 40%
• Data Description 40%
• Regression Problem 20%
• Classification Task 20%
• Decision Boundary 20%
• Mapping Function 20%
• Prior Probability 20%
• Bayesian Classifier 20%
• Machine Learning 20%
• Learning System 20%
• Binary Classification 20%