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ICML
2009
IEEE
16 years 2 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
ECTEL
2006
Springer
15 years 5 months ago
Is There a Way to e-Bologna? Cross-National Collaborative Activities in University Courses
This article describes a study of distance collaborative activities that have been conducted in a cross-national setting between a Greek and a German university. We discuss issues ...
Andreas Harrer, Georgios Kahrimanis, Sam Zeini, La...
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
15 years 8 months ago
Learning Sensory-Motor Maps for Redundant Robots
— Humanoid robots are routinely engaged in tasks requiring the coordination between multiple degrees of freedom and sensory inputs, often achieved through the use of sensorymotor...
Manuel Lopes, José Santos-Victor
ECTEL
2009
Springer
15 years 8 months ago
How Much Assistance Is Helpful to Students in Discovery Learning?
How much help helps in discovery learning? This question is one instance of the assistance dilemma, an important issue in the learning sciences and educational technology research....
Alexander Borek, Bruce M. McLaren, Michael Karabin...
CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 9 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson