Applications of Regularized Least Squares to Classification Problems
- Cite this paper as:
- Cesa-Bianchi N. (2004) Applications of Regularized Least Squares to Classification Problems. In: Ben-David S., Case J., Maruoka A. (eds) Algorithmic Learning Theory. ALT 2004. Lecture Notes in Computer Science, vol 3244. Springer, Berlin, Heidelberg
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.
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