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ATAL
2007
Springer
16 years 1 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
STACS
1999
Springer
15 years 11 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
ISTA
2003
15 years 8 months ago
Reflective Learning in Large Companies - can it work?
: A growing number of universities and companies are now becoming focused on promoting learning that is not merely instrumental. These aspirations refer to deep learning, transform...
Mihaela-Monica Vladoiu, Beatrice Matenciuc-Antones...
ETS
2000
IEEE
126views Hardware» more  ETS 2000»
15 years 7 months ago
Different (Key)strokes for Different Folks: Designing online venues for professional communities
Educational on-line resources are expanding in their application beyond delivering courses to providing venues in which members of professional communities of practice meet to exc...
Liwana S. Bringelson, Tom Carey
JMLR
2010
130views more  JMLR 2010»
15 years 2 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...