## Convex Optimization for the Design of Learning Machines

### BibTeX

@MISC{Pelckmans_convexoptimization,

author = {K. Pelckmans and J. A. K. Suykens and B. De Moor},

title = {Convex Optimization for the Design of Learning Machines},

year = {}

}

### OpenURL

### Abstract

Abstract. This paper reviews the recent surge of interest in convex optimization in a context of pattern recognition and machine learning. The main thesis of this paper is that the design of task-specific learning machines is aided substantially by using a convex optimization solver as a back-end to implement the task, liberating the designer from the concern of designing and analyzing an ad hoc algorithm. The aim of this paper is twofold: (i) it phrases the contributions of this ESANN 2007 special session in a broader context, and (ii) it provides a road-map to published resultsinthiscontext. 1