PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Deploying SDP for machine learning
Tijl De Bie
In: ESANN 2007, Bruges, Belgium(2007).


We discuss the use in machine learning of a general type of convex optimisation problem known as semi-definite programming (SDP) [1]. We intend to argue that SDP’s arise quite naturally in a variety of situations, accounting for their omnipresence in modern machine learning approaches, and we provide examples in support.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:3824
Deposited By:Tijl De Bie
Deposited On:25 February 2008