Nonsmooth Optimization Techniques for Semisupervised Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
An inexact proximal point method for solving generalized fractional programs
Journal of Global Optimization
Non-smoothness in classification problems
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART I
DC models for spherical separation
Journal of Global Optimization
A Redistributed Proximal Bundle Method for Nonconvex Optimization
SIAM Journal on Optimization
Codifferential method for minimizing nonsmooth DC functions
Journal of Global Optimization
Piecewise-quadratic Approximations in Convex Numerical Optimization
SIAM Journal on Optimization
Margin maximization in spherical separation
Computational Optimization and Applications
MI2LS: multi-instance learning from multiple informationsources
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Binary classification via spherical separator by DC programming and DCA
Journal of Global Optimization
Aggregate codifferential method for nonsmooth DC optimization
Journal of Computational and Applied Mathematics
An illumination problem: optimal apex and optimal orientation for a cone of light
Journal of Global Optimization
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We describe an extension of the classical cutting plane algorithm to tackle the unconstrained minimization of a nonconvex, not necessarily differentiable function of several variables.The method is based on the construction of both a lower and an upper polyhedral approximation to the objective function and is related to the use of the concept of proximal trajectory.Convergence to a stationary point is proved for weakly semismooth functions.