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» Derivation of Knowledge Structures for Distributed Learning ...
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CAISE
2003
Springer
14 years 1 months ago
Building Structures of Reusable Educational Content Based on LOM
This paper shows that in education and training systems LOM can be used to map the structure of courses. The necessary extension of the aggregation level is introduced. The descrip...
Stefan Hoermann, Cornelia Seeberg, Luka Divac-Krni...
ATAL
2010
Springer
13 years 9 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
UAI
1997
13 years 10 months ago
Score and Information for Recursive Exponential Models with Incomplete Data
Recursive graphical models usually underlie the statistical modelling concerning probabilistic expert systems based on Bayesian networks. This paper de nes a version of these mode...
Bo Thiesson
NIPS
2004
13 years 10 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
IJOCI
2010
163views more  IJOCI 2010»
13 years 6 months ago
An Experimental Performance Comparison for Indexing Mobile Objects on the Plane
We present a time-efficient approach to index objects moving on the plane to efficiently answer range queries about their future positions. Each object is moving with non small ve...
Spyros Sioutas, George Papaloukopoulos, Kostas Tsi...