Optimization approaches to supervised classification
type: Item
instance of: scholarly article
title: Optimization approaches to supervised classification
zbMATH Open document ID: 1403.62114
author: Xianqiang Yang
published in: European Journal of Operational Research
publication date: 2018-05-29T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 6875900
zbMATH Keywords: multivariate statistics
zbMATH Keywords: discriminant analysis
zbMATH Keywords: mathematical programming
zbMATH Keywords: support vector machines
describes a project that uses: SVMlight
describes a project that uses: LIBSVM
MaRDI profile type: Publication
full work available at URL: j.ejor.2017.02.020
OpenAlex ID: W2594403644
cites work: Mathematical programming based heuristics for improving LP-generated classifiers for the multiclass supervised classification problem
cites work: The complexity and approximability of finding maximum feasible subsystems of linear relations
cites work: On the maximum feasible subsystem problem, IISs and IIS-hypergraphs
cites work: Separate sample logistic discrimination
cites work: Oscillation heuristics for the two-group classification problem
cites work: Mathematical programming formulations for two-group classification with binary variables
cites work: Polyhedral separability through successive LP
cites work: Q5415303
cites work: Exact \(L_{2}\)-norm plane separation
cites work: Max–min separability
cites work: Piecewise Linear Classifiers Based on Nonsmooth Optimization Approaches
cites work: On the performance of linear programming heuristics applied on a quadratic transformation in the classification problem
cites work: A Parametric Optimization Method for Machine Learning
cites work: Learnability and the Vapnik-Chervonenkis dimension
cites work: Massive data discrimination via linear support vector machines
cites work: Multicategory classification by support vector machines
cites work: Random forests
cites work: Support Vector Machines with the Ramp Loss and the Hard Margin Loss
cites work: A nested heuristic for parameter tuning in support vector machines
cites work: On the selection of the globally optimal prototype subset for nearest-neighbor classification
cites work: Supervised classification and mathematical optimization
cites work: Machine learning for global optimization
cites work: An effective polynomial-time heuristic for the minimum-cardinality IIS set-covering problem
cites work: Finding a Useful Subset of Constraints for Analysis in an Infeasible Linear Program
cites work: Fast heuristics for the maximum feasible subsystem problem
cites work: Locating Minimal Infeasible Constraint Sets in Linear Programs
cites work: Optimal Criterion Weights in Repetitive Multicriteria Decision-Making
cites work: Combinatorial Benders' Cuts for Mixed-Integer Linear Programming
cites work: Support-vector networks
cites work: Using SVM to combine global heuristics for the standard quadratic problem
cites work: Efficient variable screening for multivariate analysis
cites work: Second order mathematical programming formulations for discriminant analysis
cites work: A mixed integer programming algorithm for minimizing the training sample misclassification cost in two-group classification
cites work: THE EFFECTS OF MISCLASSIFICATION COSTS AND SKEWED DISTRIBUTIONS IN TWO-GROUP CLASSIFICATION
cites work: The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis
cites work: Heuristics for feature selection in mathematical programming discriminant analysis models
cites work: A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant
cites work: Q3093324
cites work: Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
cites work: Simple but powerful goal programming models for discriminant problems
cites work: A tabu search with an oscillation strategy for the discriminant analysis problem
cites work: Separation via polyhedral conic functions
cites work: Q3093400
cites work: Second-Order SMO Improves SVM Online and Active Learning
cites work: Integer programming methods for normalisation and variable selection in mathematical programming discriminant analysis models
cites work: An iterative mixed integer programming method for classification accuracy maximizing discriminant analysis
cites work: Dichotomous categorical variable formation in mathematical programming discriminant analysis models
cites work: Mathematical programming models for piecewise-linear discriminant analysis
cites work: A comparison of standard and two-stage mathematical programming discriminant analysis methods
cites work: An additive utility mixed integer programming model for nonlinear discriminant analysis
cites work: Multigroup Discriminant Analysis Using Linear Programming
cites work: Mathematical Programming Methods of Pattern Classification
cites work: Combining discriminant models with new multi-class SVMs
cites work: Regularized linear discriminant analysis and its application in microarrays
cites work: Gene selection for cancer classification using support vector machines
cites work: Tabu search approaches for solving the two-group classification problem
cites work: Q3713398
cites work: The place of the \(L_ 1\)-norm in robust estimation
cites work: Applied MANOVA and Discriminant Analysis
cites work: Adaptive Linear Classifier by Linear Programming
cites work: Forecasting financial failure using a Kohonen map: a comparative study to improve model stability over time

Optimization approaches to supervised classification (cites work)
cites work: Arbitrary-norm hyperplane separation by variable neighbourhood search

Optimization approaches to supervised classification (cites work)
cites work: Minimizing deviations from the group mean: A new linear programming approach for the two-group classification problem

Optimization approaches to supervised classification (cites work)
cites work: Multicategory Support Vector Machines

Optimization approaches to supervised classification (cites work)
cites work: Learning Theory and Kernel Machines

Optimization approaches to supervised classification (cites work)
cites work: Integer Programming Solution of a Classification Problem

Optimization approaches to supervised classification (cites work)
cites work: Support vector machines for classification in nonstandard situations

Optimization approaches to supervised classification (cites work)
cites work: Q5488706

Optimization approaches to supervised classification (cites work)
cites work: Support vector machines with adaptive \(L_q\) penalty

Optimization approaches to supervised classification (cites work)
cites work: 10.1162/153244302760200687

Optimization approaches to supervised classification (cites work)
cites work: Exact penalization and stationarity conditions of mathematical programs with equilibrium constraints

Optimization approaches to supervised classification (cites work)
cites work: Linear and Nonlinear Separation of Patterns by Linear Programming

Optimization approaches to supervised classification (cites work)
cites work: Multisurface method of pattern separation

Optimization approaches to supervised classification (cites work)
cites work: Misclassification minimization

Optimization approaches to supervised classification (cites work)
cites work: Arbitrary-norm separating plane

Optimization approaches to supervised classification (cites work)
cites work: Q3546379

Optimization approaches to supervised classification (cites work)
cites work: Breast Cancer Diagnosis and Prognosis Via Linear Programming

Optimization approaches to supervised classification (cites work)
cites work: Massive data classification via unconstrained support vector machines

Optimization approaches to supervised classification (cites work)
cites work: Chunking for massive nonlinear kernel classification

Optimization approaches to supervised classification (cites work)
cites work: Discriminant Functions When Covariance Matrices are Unequal

Optimization approaches to supervised classification (cites work)
cites work: Comprehensible credit scoring models using rule extraction from support vector machines

Optimization approaches to supervised classification (cites work)
cites work: Q3998435

Optimization approaches to supervised classification (cites work)
cites work: Q4827938

Optimization approaches to supervised classification (cites work)
cites work: Q4386954

Optimization approaches to supervised classification (cites work)
cites work: An incremental piecewise linear classifier based on polyhedral conic separation

Optimization approaches to supervised classification (cites work)
cites work: Finding the minimum weight IIS cover of an infeasible system of linear inequalities

Optimization approaches to supervised classification (cites work)
cites work: On Estimation of a Probability Density Function and Mode

Optimization approaches to supervised classification (cites work)
cites work: Examining Optimal Criterion Weights in Mixed Integer Programming Approaches to the Multiple-group Classification Problem

Optimization approaches to supervised classification (cites work)
cites work: Examination of the classificatory performance of MIP models with secondary goals for the two-group discriminant problem

Optimization approaches to supervised classification (cites work)
cites work: Support vector machines with different norms: Motivation, formulations and results

Optimization approaches to supervised classification (cites work)
cites work: Branch-and-Cut for the Maximum Feasible Subsystem Problem

Optimization approaches to supervised classification (cites work)
cites work: Linear separation and approximation by minimizing the sum of concave functions of distances

Optimization approaches to supervised classification (cites work)
cites work: Alternating local search based VNS for linear classification

Optimization approaches to supervised classification (cites work)
cites work: Choosing Between Logistic Regression and Discriminant Analysis

Optimization approaches to supervised classification (cites work)
cites work: Q3093184

Optimization approaches to supervised classification (cites work)
cites work: Pattern separation by convex programming

Optimization approaches to supervised classification (cites work)
cites work: A comment regarding polynomial discriminant functions

Optimization approaches to supervised classification (cites work)
cites work: Solving mixed integer classification problems by decomposition

Optimization approaches to supervised classification (cites work)
cites work: Advances in large-margin classifiers

Optimization approaches to supervised classification (cites work)
cites work: On ψ-Learning

Optimization approaches to supervised classification (cites work)
cites work: Mathematical programming approaches to classification problems

Optimization approaches to supervised classification (cites work)
cites work: Learning Theory and Kernel Machines

Optimization approaches to supervised classification (cites work)
cites work: The Warmack-Gonzalez algorithm for linear two-category multivariable optimal discriminant analysis

Optimization approaches to supervised classification (cites work)
cites work: Nontraditional approaches to statistical classification: Some perspectives on \(L_ p\)-norm methods

Optimization approaches to supervised classification (cites work)
cites work: Q4005864

Optimization approaches to supervised classification (cites work)
cites work: How to solve a semi-infinite optimization problem

Optimization approaches to supervised classification (cites work)
cites work: A MIXED INTEGER PROGRAMMING MODEL FOR MULTIPLE-CLASS DISCRIMINANT ANALYSIS

Optimization approaches to supervised classification (cites work)
cites work: Q3174109

Optimization approaches to supervised classification (cites work)
cites work: A theory of the learnable

Optimization approaches to supervised classification (cites work)
cites work: Q4261789

Optimization approaches to supervised classification (cites work)
cites work: Q4856771

Optimization approaches to supervised classification (cites work)
cites work: On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

Optimization approaches to supervised classification (cites work)
cites work: On a class of pattern recognition learning algorithms

Optimization approaches to supervised classification (cites work)
cites work: On a Statistical Problem Arising in the Classification of an Individual into One of Two Groups

Optimization approaches to supervised classification (cites work)
cites work: Statistical Decision Functions

Optimization approaches to supervised classification (cites work)
cites work: An Algorithm for the Optimal Solution of Linear Inequalities and its Application to Pattern Recognition

Optimization approaches to supervised classification (cites work)
cites work: Q3137910

Optimization approaches to supervised classification (cites work)
cites work: Robust Truncated Hinge Loss Support Vector Machines

Optimization approaches to supervised classification (cites work)
cites work: A combinatorial approach to the classification problem

Optimization approaches to supervised classification (cites work)
cites work: Minimum Sample Size Considerations for Two-Group Linear and Quadratic Discriminant Analysis with Rare Populations

Optimization approaches to supervised classification (DOI)
DOI: 10.1016/J.EJOR.2017.02.020