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» A distributed machine learning framework
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ICML
1999
IEEE
16 years 3 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
15 years 9 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 6 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 8 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»
15 years 9 months 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...