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ESANN
2007

Convex optimization for the design of learning machines

8 years 10 months ago
Convex optimization for the design of learning machines
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 results in this context.
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ESANN
Authors Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
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