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» On Aggregating Teams of Learning Machines
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SAC
2010
ACM
14 years 2 months ago
Recovering uncertain mappings through structural validation and aggregation with the MoTo system
We present an automated ontology matching methodology, supported by various machine learning techniques, as implemented in the system MoTo. The methodology is twotiered. On the ï¬...
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato
ECTEL
2009
Springer
13 years 11 months ago
The Influence of Coalition Formation on Idea Selection in Dispersed Teams: A Game Theoretic Approach
In an open innovation environment, organizational learning takes place by means of dispersed teams which expand their knowledge through collaborative idea generation. Research is o...
Rory L. L. Sie, Marlies Bitter-Rijpkema, Peter B. ...
IJCAI
2001
13 years 9 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
ICML
2007
IEEE
14 years 8 months ago
Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A...
Hua-Yan Wang, Hongbin Zha, Hong Qin
ROBOCUP
1998
Springer
101views Robotics» more  ROBOCUP 1998»
14 years 1 days ago
Evolving Team Darwin United
The RoboCup simulator competition is one of the most challenging international proving grounds for contemporary AI research. Exactly because of the high level of complexity and a l...
David Andre, Astro Teller