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ICML
2008
IEEE
16 years 8 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ICSE
2004
IEEE-ACM
16 years 7 months ago
Verifying DAML+OIL and Beyond in Z/EVES
Semantic Web, the next generation of Web, gives data well-defined and machine-understandable meaning so that they can be processed by remote intelligent agents cooperatively. Onto...
Jin Song Dong, Chew Hung Lee, Yuan-Fang Li, Hai H....
CVPR
2010
IEEE
16 years 3 months ago
What's going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...
ICALT
2008
IEEE
16 years 1 months ago
NUCLEO: Adaptive Computer Supported Collaborative Learning in a Role Game Based Scenario
This paper presents the adaptation model used in NUCLEO, a pilot e-learning environment that is currently being developed at the Complutense University of Madrid. The NUCLEO syste...
Pilar Sancho, Rubén Fuentes-Fernánde...
ACSD
2007
IEEE
81views Hardware» more  ACSD 2007»
16 years 1 months ago
A model-driven design approach for mechatronic systems
The software design is one of the most challenging tasks during the design of a mechatronic system. On one hand, it has to provide solutions to deal with concurrency and timelines...
Jinfeng Huang, Jeroen Voeten, Marcel A. Groothuis,...