Linear and Nonlinear Separation of Patterns by Linear Programming
From MaRDI portal
Publication:5334736
DOI10.1287/opre.13.3.444zbMath0127.36701OpenAlexW2060591526MaRDI QIDQ5334736
Publication date: 1965
Published in: Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1287/opre.13.3.444
Related Items (59)
On the problem polyhedral separability: a numerical solution ⋮ On the optimal separating hyperplane for arbitrary sets: a generalization of the SVM formulation and a convex hull approach ⋮ Misclassification minimization ⋮ A fixed-center spherical separation algorithm with kernel transformations for classification problems ⋮ An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring ⋮ Instance-based credit risk assessment for investment decisions in P2P lending ⋮ On numerical solving the spherical separability problem ⋮ Spherical separation with infinitely far center ⋮ Support vector machine classification via parameterless robust linear programming ⋮ Approximate functions in a problem of sets separation ⋮ Ellipsoidal separation for classification problems ⋮ Simultaneous design and training of ontogenic neural network classifiers ⋮ A linear separability criterion for sets of Euclidean space ⋮ An optimal algorithm for pattern classification† ⋮ DC models for spherical separation ⋮ Mixed integer linear programming for feature selection in support vector machine ⋮ Tightening big Ms in integer programming formulations for support vector machines with ramp loss ⋮ RAGNU: A microcomputer package for two-group mathematical programming-based nonparametric classification ⋮ Maximizing upgrading and downgrading margins for ordinal regression ⋮ Minmax-distance approximation and separation problems: geometrical properties ⋮ Adversarial classification via distributional robustness with Wasserstein ambiguity ⋮ The set of limiting distributions for a Markov chain with fuzzy transition probabilities ⋮ An application of Monte-Carlo-based sensitivity analysis on the overlap in discriminant analysis ⋮ An approach to classification based on separation of sets by means of several ellipsoids ⋮ Classifying negative and positive points by optimal box clustering ⋮ Kernel methods in machine learning ⋮ Fuzzy regularized generalized eigenvalue classifier with a novel membership function ⋮ On the time series support vector machine using dynamic time warping kernel for brain activity classification ⋮ Operations research and data mining ⋮ Discrete support vector decision trees via tabu search ⋮ Optimization approaches to supervised classification ⋮ Multi-group support vector machines with measurement costs: A biobjective approach ⋮ Foreword: special issue for the 70th birthday of professor Olvi Mangasarian ⋮ Finding the nearest point in A polytope ⋮ Optimizing feature selection to improve medical diagnosis ⋮ Linear one-sided approximation algorithms for the solution of overdetermined systems of linear inequalities ⋮ Synergies of operations research and data mining ⋮ A constraint generation algorithm for large scale linear programs using multiple-points separation ⋮ The distance between two convex sets ⋮ A mixed integer programming approach to multi-spectral image classification ⋮ Nonlinear separation of data via mixed 0-1 integer and linear programming ⋮ A characterization of nearest-neighbor rule decision surfaces and a new approach to generate them ⋮ Polyhedral separability through successive LP ⋮ Deriving weights in multiple-criteria decision making with support vector machines ⋮ Separation of convex sets by Clarke subdifferential ⋮ Massive data discrimination via linear support vector machines ⋮ Aplicabilidad de la programacion matematica en la estimacion de funciones discriminantes ⋮ Designing a hybrid intelligent mining system for credit risk evaluation ⋮ Spherical classification of data, a new rule-based learning method ⋮ Long-run behavior of constrained discrete-time linear dynamical systems ⋮ A hybrid algorithm for solving linear inequalities in a least squares sense ⋮ Fuzzy Hyperinference-Based Pattern Recognition ⋮ Credit risk evaluation with a least squares fuzzy support vector machines classifier ⋮ Possible design-induced artifacts associated with designs for discrete choice experiments ⋮ Formal methods in pattern recognition: A review ⋮ Arbitrary-norm separating plane ⋮ Necessary and sufficient conditions for emptiness of the cones of generalized support vectors ⋮ Bilinear separation of two sets in \(n\)-space ⋮ A comparison of standard and two-stage mathematical programming discriminant analysis methods
This page was built for publication: Linear and Nonlinear Separation of Patterns by Linear Programming
