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ATAL
2007
Springer
14 years 2 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
14 years 16 days 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
13 years 9 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...
JMLR
2010
130views more  JMLR 2010»
13 years 3 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...
HICSS
2006
IEEE
176views Biometrics» more  HICSS 2006»
14 years 2 months ago
Learning by Browsing: A Web-Based Multimedia Browsing System for Learning
Multimedia, especially video, is widely used in educational applications. More and more universities and corporations now provide videotaped lectures online for knowledge sharing ...
Ming Lin, Jinwei Cao, Christopher B. R. Diller, Ja...