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» Conférences d’après mars 2011 : nouveau site

1441

Journée Mathematical Foundations of Learning Theory

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Statistical Analysis of Subspace Methods and Associated Learning Algorithms
John Shawe-Taylor (University of Southampton)

2 juin 2006

Subspace inference is a critical component in many practical applications of learning from data, yet very little analysis has been made of the performance of these algorithms. The talk considers the question of providing a statistical analysis of subspace methods and of learning using the associated representations. We begin with considering principal components analysis and the relation between process and empirical eigenvalues. We go on to consider more advanced techniques such as canonical correlation analysis and linear functions learned in the inferred representation. Sparse analogies of these techniques will be discussed with associated bounds.

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John Shawe-Taylor John Shawe-Taylor (University of Southampton)