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ATAL
2007
Springer
16 years 21 days 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 10 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...
COLT
2010
Springer
15 years 4 months ago
Active Learning on Trees and Graphs
We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we c...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
CSB
2004
IEEE
152views Bioinformatics» more  CSB 2004»
15 years 10 months ago
EcMLST: An Online Database for Multi Locus Sequence Typing of Pathogenic Escherichia coli
In order to provide a portable and accurate typing system for the unambiguous characterization of pathogenic Escherichia coli isolates to the scientific community, we have constru...
Weihong Qi, David W. Lacher, Alyssa C. Bumbaugh, K...