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» Learning to Track with Multiple Observers
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TNN
2010
143views Management» more  TNN 2010»
13 years 2 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
NIPS
2004
13 years 9 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
RAS
2006
108views more  RAS 2006»
13 years 7 months ago
A computational model of intention reading in imitation
Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and e...
Bart Jansen, Tony Belpaeme
UAI
2004
13 years 9 months ago
Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
Andrew Howard, Tony Jebara
BMCBI
2005
124views more  BMCBI 2005»
13 years 7 months ago
Internet-based profiler system as integrative framework to support translational research
Background: Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to dev...
Robert Kim, Francesca Demichelis, Jeffery Tang, Al...