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ALT
2004
Springer
13 years 9 months ago
2004
Springer
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
ALT
2004
Springer
14 years 2 months ago
2004
Springer
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the ...
ALT
2004
Springer
14 years 2 months ago
2004
Springer
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
ALT
2004
Springer
14 years 2 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
CORR
2006
Springer
13 years 5 months ago
2006
Springer
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...