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» Using model knowledge for learning inverse dynamics
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CONTEXT
2007
Springer
14 years 2 months ago
Adaptive and Context-aware Scenarios for Technology Enhanced Learning System based on a Didactical Theory and a Hierarchical Tas
Among the main issues of future technology-enhanced learning systems, we can mention the following ones: the ability to reuse learning resources (learning objects, tools and servic...
Jean-Louis Tetchueng, Serge Garlatti, Sylvain Laub...
DICTA
2007
13 years 10 months ago
The Tower of Knowledge Scheme for Learning in Computer Vision
A scheme, named tower of knowledge (ToK), is proposed for interpreting 3D scenes. The ToK encapsulates causal dependencies between object appearance and functionality. We demonstr...
Maria Petrou, Mai Xu
ICASSP
2011
IEEE
13 years 11 days ago
Cooperative Maximum Likelihood estimation for fluid flow dynamics in biosensor arrays
Abstract—This paper deals with estimation of the concentration of target molecules in a fluid when it flows past multiple biosensors. The fluid flow is modelled as an advecti...
Maryam Abolfath Beygi, Vikram Krishnamurthy
JSS
2006
155views more  JSS 2006»
13 years 8 months ago
Semantic component networking: Toward the synergy of static reuse and dynamic clustering of resources in the knowledge grid
Model is a kind of codified knowledge that has been verified in solving problems. Solving a complex problem usually needs a set of models. Using components, the composition of a s...
Hai Zhuge
AAAI
2000
13 years 10 months ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen