Keyphrases
Adaptive Loss Function
12%
Approximation Methods
25%
Barrier Method
18%
Benchmark Dataset
29%
Binary Classification
34%
Cobb-Douglas
12%
Convergence Theorem
12%
Convex Programming
18%
Data Distribution
13%
Deep Learning
12%
Difference of Convex Functions
12%
Double Regularization
12%
Dual Sequences
12%
Expected Compliance
37%
Extragradient
12%
Failure Probability
20%
Feasible Direction Algorithms
12%
Feature Selection Classification
12%
Global Convergence
25%
Hybrid Projection Method
25%
Hyperplane
15%
Kernel-based
13%
Learning Machine
12%
Machine Topology
12%
Minimax Probability Machine
12%
MiR-26a
12%
Multi-class Classification
29%
Nonparallel Support Vector Machine (NPSVM)
25%
Nonparallel Support Vector Regression
12%
One-class Support Vector Machine (OCSVM)
37%
Ordered Weighted Averaging
12%
Parametric Approximation
18%
Performance Prediction
20%
Polytope
12%
Projection Point
12%
Proximal Algorithms
16%
Reduced Convex Hull
16%
Regularization Method
12%
Reliability Analysis
12%
Reliability-based Design Optimization
12%
Robust Optimization
15%
Second-order Cone Constraints
18%
Second-order Cone Programming
68%
Sequence of Functions
12%
Superior Performance
12%
Support Vector Machine
32%
Support Vector Machine Model
32%
Topology Optimization
31%
Training Pattern
26%
Twin Support Vector Machine (TWSVM)
15%
Mathematics
Approximation Method
12%
Asymptotic Behavior
6%
Asymptotics
12%
Binary Classification
21%
Classification Problem
12%
Cluster Point
6%
Convergence Property
6%
Convergence Result
6%
Convex Function
18%
Convex Minimization Problem
6%
Convex Programming
37%
Data Distribution
18%
Decision Function
12%
Diagonal
12%
Dimensional Hilbert Space
12%
Error Rate
6%
Extragradient
12%
Extragradient Method
6%
Feasible Direction
12%
Feasible Set
6%
Finite Length
6%
Finite Set
12%
Hyperplane
18%
Interior Point
10%
Mathematical Formulation
6%
Maximal Monotone Operator
12%
Minimax
25%
Minimization Problem
18%
Minimizes
26%
Objective Function
12%
Optimal Path
6%
Orthogonal Projection
12%
Parametric
25%
Penalty Method
6%
Probability Theory
25%
Programming Problem
19%
Regularization
34%
Relative Error
12%
Robust Design
10%
Second-Order Conditioning
6%
Solution Set
6%
Stochastic Model
6%
Stochastics
25%
Support Vector Machine
34%
Total Amount
6%
Variance
37%
Weaker Assumption
6%
Computer Science
Average Performance
8%
Benchmark Problem
6%
Binary Classification
34%
classification approach
7%
Classification Problem
6%
Classification Task
8%
Convex Programming
12%
Data Distribution
12%
Deep Learning Method
12%
Feature Extraction
12%
Feature Selection
12%
Generalization Performance
6%
Global Convergence
6%
Hyperplane
27%
Interior Point
6%
Kernel Function
6%
Machine Learning
15%
Machine Learning-Based Approach
6%
Multi Class Classification
7%
Multiclass Classification
24%
Objective Function
12%
Optimization Algorithm
6%
Optimization Problem
6%
Predictive Performance
17%
Quadratic Programming
5%
Reduced Convex Hull
16%
Regression Function
6%
Regression Task
6%
Regularization
6%
Regularization Method
12%
Regularization Term
6%
Robust Optimization
17%
Superior Performance
6%
Support Vector Machine
100%
Support Vector Machine
27%
Support Vector Regression
12%
Weighted Average
12%
