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NECO
2010
103views more  NECO 2010»
14 years 8 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
EAGC
2003
Springer
15 years 3 months ago
Search Engines for the Grid: A Research Agenda
A preliminary study of the issues surrounding a seach engine for Grid environments, GRISEN, that would enable the provision of a variety of Grid information services, such as loca...
Marios D. Dikaiakos, Yannis E. Ioannidis, Rizos Sa...
HICSS
2005
IEEE
166views Biometrics» more  HICSS 2005»
15 years 3 months ago
Prototyping the Emergence of Collaborative Knowledge
E-learning growth is driven by global, societal, and technological changes that both enable and require increased worker and learner mobility, access to distributed domain experti...
Rita M. Vick, Apperson H. Johnson
IPPS
2005
IEEE
15 years 3 months ago
GHS: A Performance System of Grid Computing
Conventional performance evaluation mechanisms focus on dedicated distributed systems. Grid computing infrastructure, on another hand, is a shared collaborative environment constr...
Xian-He Sun, Ming Wu
CE
2005
58views more  CE 2005»
14 years 9 months ago
Does ICT contribute to powerful learning environments in primary education?
In powerful learning environments, rich contexts and authentic tasks are presented to pupils. Active, autonomous and co-operative learning is stimulated, and the curriculum is ada...
Ed Smeets