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