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» Using model knowledge for learning inverse dynamics
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ESANN
2000
13 years 10 months ago
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
Piero A. Gili, Manuela Battipede
AGP
2003
IEEE
14 years 7 days ago
Using dynamic logic programming to model legal reasoning
Dynamic logic programming allows the representation and the inference of evolving knowledge. Legal knowledge reasoning needs the capability to model laws that change over time and ...
N. Graca, Paulo Quaresma
IEAAIE
2010
Springer
13 years 6 months ago
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
COGSCI
2010
85views more  COGSCI 2010»
13 years 8 months ago
Knowledge as Process: Contextually Cued Attention and Early Word Learning
Learning depends on attention. The processes that cue attention in the moment dynamically integrate learned regularities and immediate contextual cues. This paper reviews the exte...
Linda B. Smith, Eliana Colunga, Hanako Yoshida
RECOMB
2009
Springer
14 years 9 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu