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» Using model knowledge for learning inverse dynamics
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WCE
2008
15 years 4 months ago
Design and Implementation of an E-Learning Model by Considering Learner's Personality and Emotions
Abstract Emotion, personality and individual differences are those effective parameters on human's activities such as learning. People with different personalities show differ...
Somayeh Fatahi, M. Kazemifard, Nasser Ghasem-Aghae...
JAIR
2008
93views more  JAIR 2008»
15 years 2 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
90
Voted
IPMI
2005
Springer
16 years 3 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...
110
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier
118
Voted
NIPS
2001
15 years 4 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr