Olvi L. Mangasarian

Affiliations:
  • University of Wisconsin-Madison, Madison, USA


According to our database1, Olvi L. Mangasarian authored at least 107 papers between 1968 and 2017.

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Bibliography

2017
Sufficient conditions for the unsolvability and solvability of the absolute value equation.
Optim. Lett., 2017

2016
Unsupervised and Semisupervised Classification Via Absolute Value Inequalities.
J. Optim. Theory Appl., 2016

2015
A hybrid algorithm for solving the absolute value equation.
Optim. Lett., 2015

2014
Linear complementarity as absolute value equation solution.
Optim. Lett., 2014

Absolute Value Equation Solution Via Linear Programming.
J. Optim. Theory Appl., 2014

2013
Privacy-preserving linear and nonlinear approximation via linear programming.
Optim. Methods Softw., 2013

Absolute value equation solution via dual complementarity.
Optim. Lett., 2013

2012
Primal-dual bilinear programming solution of the absolute value equation.
Optim. Lett., 2012

Privacy-preserving horizontally partitioned linear programs.
Optim. Lett., 2012

2011
Privacy-preserving linear programming.
Optim. Lett., 2011

Equivalence of Minimal <i>ℓ</i><sub>0</sub>- and <i>ℓ</i><sub><i>p</i></sub>-Norm Solutions of Linear Equalities, Inequalities and Linear Programs for Sufficiently Small <i>p</i>.
J. Optim. Theory Appl., 2011

Probability of unique integer solution to a system of linear equations.
Eur. J. Oper. Res., 2011

2010
Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data.
Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Uniqueness of integer solution of linear equations.
Optim. Lett., 2010

2009
Proximal Knowledge-based Classification.
Stat. Anal. Data Min., 2009

Knapsack feasibility as an absolute value equation solvable by successive linear programming.
Optim. Lett., 2009

A generalized Newton method for absolute value equations.
Optim. Lett., 2009

2008
Nonlinear Knowledge-Based Classification.
IEEE Trans. Neural Networks, 2008

Privacy-preserving classification of vertically partitioned data via random kernels.
ACM Trans. Knowl. Discov. Data, 2008

Chunking for massive nonlinear kernel classification.
Optim. Methods Softw., 2008

Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels.
Proceedings of The 2008 International Conference on Data Mining, 2008

2007
Nonlinear Knowledge in Kernel Approximation.
IEEE Trans. Neural Networks, 2007

Absolute value equation solution via concave minimization.
Optim. Lett., 2007

Absolute value programming.
Comput. Optim. Appl., 2007

Feature Selection for Nonlinear Kernel Support Vector Machines.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Linear programming with MATLAB.
MPS-SIAM series on optimization 7, SIAM, ISBN: 978-0-89871-643-6, 2007

2006
Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization.
J. Mach. Learn. Res., 2006

Nonconvex Piecewise-Quadratic Underestimation for Global Minimization.
J. Glob. Optim., 2006

Convex Kernel Underestimation of Functions with Multiple Local Minima.
Comput. Optim. Appl., 2006

Breast Tumor Susceptibility to Chemotherapy Via Support Vector Machines.
Comput. Manag. Sci., 2006

2005
Knowledge-Based Linear Programming.
SIAM J. Optim., 2005

Support vector machine classification via parameterless robust linear programming.
Optim. Methods Softw., 2005

Multicategory Proximal Support Vector Machine Classifiers.
Mach. Learn., 2005

Global Minimization via Piecewise-Linear Underestimation.
J. Glob. Optim., 2005

2004
Knowledge-Based Kernel Approximation.
J. Mach. Learn. Res., 2004

A Feature Selection Newton Method for Support Vector Machine Classification.
Comput. Optim. Appl., 2004

2003
Finite Newton method for Lagrangian support vector machine classification.
Neurocomputing, 2003

Survival-Time Classification of Breast Cancer Patients.
Comput. Optim. Appl., 2003

Knowledge-Based Nonlinear Kernel Classifiers.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002
A finite newton method for classification.
Optim. Methods Softw., 2002

Large Scale Kernel Regression via Linear Programming.
Mach. Learn., 2002

Minimal Kernel Classifiers.
J. Mach. Learn. Res., 2002

Set Containment Characterization.
J. Glob. Optim., 2002

Incremental Support Vector Machine Classification.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Knowledge-Based Support Vector Machine Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Lagrangian Support Vector Machines.
J. Mach. Learn. Res., 2001

SSVM: A Smooth Support Vector Machine for Classification.
Comput. Optim. Appl., 2001

RSVM: Reduced Support Vector Machines.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Proximal support vector machine classifiers.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Data Mining via Support Vector Machines.
Proceedings of the System Modelling and Optimization XX, 2001

2000
Robust Linear and Support Vector Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

k-Plane Clustering.
J. Glob. Optim., 2000

Active Support Vector Machine Classification.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Data selection for support vector machine classifiers.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999
Successive overrelaxation for support vector machines.
IEEE Trans. Neural Networks, 1999

Polyhedral Boundary Projection.
SIAM J. Optim., 1999

Arbitrary-norm separating plane.
Oper. Res. Lett., 1999

Mathematical Programming for Data Mining: Formulations and Challenges.
INFORMS J. Comput., 1999

A Linearly Convergent Derivative-Free Descent Method for Strongly Monotone Complementarity Problems.
Comput. Optim. Appl., 1999

Breast cancer survival and chemotherapy: A support vector machine analysis.
Proceedings of the Discrete Mathematical Problems with Medical Applications, 1999

1998
Error bounds for nondifferentiable convex inequalities under a strong Slater constraint qualification.
Math. Program., 1998

Feature Selection via Mathematical Programming.
INFORMS J. Comput., 1998

Parsimonious Least Norm Approximation.
Comput. Optim. Appl., 1998

Feature Selection via Concave Minimization and Support Vector Machines.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Parsimonious side propagation.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Mathematical Programming in Data Mining.
Data Min. Knowl. Discov., 1997

1996
Dedication.
Comput. Optim. Appl., 1996

A class of smoothing functions for nonlinear and mixed complementarity problems.
Comput. Optim. Appl., 1996

Hybrid misclassification minimization.
Adv. Comput. Math., 1996

Clustering via Concave Minimization.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Breast Cancer Wisconsin (Prognostic).
Dataset, November, 1995

Breast Cancer Wisconsin (Diagnostic).
Dataset, October, 1995

The Extended Linear Complementarity Problem.
SIAM J. Matrix Anal. Appl., 1995

Smoothing methods for convex inequalities and linear complementarity problems.
Math. Program., 1995

The linear complementarity problem as a separable bilinear program.
J. Glob. Optim., 1995

Breast Cancer Diagnosis and Prognosis Via Linear Programming.
Oper. Res., 1995

An Inductive Learning Approach to Prognostic Prediction.
Proceedings of the Machine Learning, 1995

1994
Parallel Variable Distribution.
SIAM J. Optim., 1994

Serial and Parallel Multicategory Discrimination.
SIAM J. Optim., 1994

Error bounds for inconsistent linear inequalities and programs.
Oper. Res. Lett., 1994

New improved error bounds for the linear complementarity problem.
Math. Program., 1994

New Error Bounds for the Linear Complementarity Problem.
Math. Oper. Res., 1994

Misclassification minimization.
J. Glob. Optim., 1994

1993
Nonlinear complementarity as unconstrained and constrained minimization.
Math. Program., 1993

Mathematical Programming in Neural Networks.
INFORMS J. Comput., 1993

Bilinear separation of two sets in<i>n</i>-space.
Comput. Optim. Appl., 1993

Error bounds and strong upper semicontinuity for monotone affine variational inequalities.
Ann. Oper. Res., 1993

Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Minimum principle sufficiency.
Math. Program., 1992

1991
Convergence of Iterates of an Inexact Matrix Splitting Algorithm for the Symmetric Monotone Linear Complementarity Problem.
SIAM J. Optim., 1991

Parallel Constraint Distribution.
SIAM J. Optim., 1991

1990
Error Bounds for Nondegenerate Monotone Linear Complementarity Problems.
Math. Program., 1990

1988
Asynchronous parallel successive overrelaxation for the symmetric linear complementarity problem.
Math. Program., 1988

1986
Error bounds for monotone linear complementarity problems.
Math. Program., 1986

1985
Simple bounds for solutions of monotone complementarity problems and convex programs.
Math. Program., 1985

A Condition Number for Differentiable Convex Inequalities.
Math. Oper. Res., 1985

1984
Sparsity-preserving sor algorithms for separable quadratic and linear programming.
Comput. Oper. Res., 1984

1983
A dual differentiable exact penalty function.
Math. Program., 1983

1980
Locally unique solutions of quadratic programs, linear and nonlinear complementarity problems.
Math. Program., 1980

1979
Exact penalty functions in nonlinear programming.
Math. Program., 1979

Simplified Characterizations of Linear Complementarity Problems Solvable as Linear Programs.
Math. Oper. Res., 1979

1978
Solution of the linear inverse vector optimization problem by a single linear program.
Math. Program., 1978

1976
Linear complementarity problems solvable by A single linear program.
Math. Program., 1976

Superlinearly convergent quasi-newton algorithms for nonlinearly constrained optimization problems.
Math. Program., 1976

1972
Publications.
Math. Program., 1972

1968
Multisurface method of pattern separation.
IEEE Trans. Inf. Theory, 1968


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