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» A distributed machine learning framework
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ICML
1999
IEEE
16 years 7 months ago
Distributed Value Functions
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore...
ICALT
2009
IEEE
16 years 1 months ago
Learning Activity Spaces: Towards Flexibility in Learning Design?
Designing a computer-supported learning scenario involving a constructivist approach of learning lays on a paradox. On the one hand, learning flows must be precisely described –...
Anne Lejeune, Muriel Ney, Armin Weinberger, Margus...
C5
2004
IEEE
15 years 10 months ago
Design for an Extensible Croquet-Based Framework to Deliver a Persistent, Unified, Massively Multi-User, and Self-Organizing Vir
We describe a design for a collaborative Virtual Learning Environment (VLE) to support massively multi-user and multi-institutional learning communities. This architecture extends...
Mark P. McCahill, Julian Lombardi
OTM
2004
Springer
15 years 11 months ago
A Virtual-Machine-Based Middleware
Currently, a number of distributed software systems development tools exist, but typically they are designed either to satisfy industrial standards – industrial perspective – o...
Alcides Calsavara, Agnaldo K. Noda, Juarez da Cost...
ICC
2007
IEEE
102views Communications» more  ICC 2007»
16 years 19 days ago
Use of Fuzzy Bayesian Clustering to Enhance Generalization Capacity of Radio Network Planning Tool
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Zakaria Nouir, Berna Sayraç, Benoît F...