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ICML
2007
IEEE
16 years 3 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 3 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 9 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
EPIA
2005
Springer
15 years 8 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 9 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