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ICML
2007
IEEE
16 years 4 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
CONCURRENCY
2006
142views more  CONCURRENCY 2006»
15 years 4 months ago
A Grid service broker for scheduling e-Science applications on global data Grids
: The next generation of scientific experiments and studies, popularly called e-Science, is carried out by large collaborations of researchers distributed around the world engaged ...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton
AIED
2009
Springer
15 years 10 months ago
A Phoneme-Based Student Model for Adaptive Spelling Training
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...
Gian-Marco Baschera, Markus Gross
129
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EPIA
2005
Springer
15 years 9 months ago
Acquiring Observation Models Through Reverse Plan Monitoring
We present a general-purpose framework for updating a robot’s observation model within the context of planning and execution. Traditional plan execution relies on monitoring plan...
Sonia Chernova, Elisabeth Crawford, Manuela M. Vel...
ICDS
2009
IEEE
15 years 10 months ago
Anticipating the Digital University
The University of the Digital Society is based on interactions that facilitate learning in a new pragmatic context. Catalysts involved in the learning process replace the traditio...
Mihai Nadin