Applications of Regularized Least Squares to Classification Problems

* Final gross prices may vary according to local VAT.

Get Access


We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior of these family of learning algorithms is analyzed in both the statistical and the worst-case (individual sequence) data-generating models.