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» Using model knowledge for learning inverse dynamics
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DEXAW
2002
IEEE
96views Database» more  DEXAW 2002»
14 years 1 months ago
Individual Knowledge Management with MailTack
We present our EU-sponsored research in the domain of individual knowledge management and collaborative learning: the MailTack system. MailTack is a stand-alone software tool that...
Marco C. Bettoni, Robert Ottiger, Rolf Todesco, Ku...
ISBI
2006
IEEE
14 years 9 months ago
Linearly constrained MEG beamformers for MVAR modeling of cortical interactions
Among the many methods for modeling cortical interactions using EEG and MEG data, Multivariate Autoregressive(MVAR) functional connectivity measures have the advantage of providin...
Hua Brian Hui, Richard M. Leahy
FCSC
2010
238views more  FCSC 2010»
13 years 6 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
PAMI
2007
186views more  PAMI 2007»
13 years 8 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller