Applications of Regularized Least Squares to Classification Problems [chapter]

Nicolò Cesa-Bianchi
2004 Lecture Notes in Computer Science  
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.
doi:10.1007/978-3-540-30215-5_2 fatcat:r4fq2hmcm5gilcj4qgvcvayfaq