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134
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ATAL
2007
Springer
15 years 6 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
100
Voted
ISTA
2003
15 years 1 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...
134
Voted
SOCIALCOM
2010
14 years 7 months ago
Learning Influence Propagation of Personal Blogs with Content and Network Analyses
Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh
121
Voted
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
14 years 4 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
76
Voted
ICALT
2005
IEEE
15 years 6 months ago
Collaborative Learning for an Online Higher Education Course: A Case Study
Collaborative learning, which a large number of scholars have been experimenting with since Dewey wrote about it in 1924, has known a new interest with the spreading of the Intern...
Patrizia Ghislandi, Remo Job