Learning in the Limit
Average-Case Analysis
Stochastic Finite Learning

Algorithmic Learning Theory

This page is dedicated to all aspects of algorithmic learning theory. It will be extended, whenever my time permits it. So, if there is something you miss right now, please come back later and check again. Comments, suggestions for improvement are welcome. Just send me a mail.

The links on the left hand side will lead you to pages explaining the overall goal of learning, defining different learning models, and summarizing results.

The links below provide a couple of pages containing applets for algorithms we have developed and/or carefully analyzed with respect to their time (and/or space) complexity.

Related papers we have published.

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