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ISIPTA
2005
IEEE
162views Mathematics» more  ISIPTA 2005»
15 years 10 months ago
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
Frank P. A. Coolen, Thomas Augustin
ICRA
2002
IEEE
104views Robotics» more  ICRA 2002»
15 years 9 months ago
Robotic Acquisition of Deformable Models
We describe techniques for automatically acquiring observations of a deforming object and for estimating a model of the deformation from these observations. A robotic system was d...
Jochen Lang, Dinesh K. Pai, Robert J. Woodham
ISCI
2008
137views more  ISCI 2008»
15 years 4 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba
TVCG
2011
138views more  TVCG 2011»
14 years 11 months ago
Shape: A 3D Modeling Tool for Astrophysics
—We present a flexible interactive 3D morpho-kinematical modeling application for astrophysics. Compared to other systems, our application reduces the restrictions on the physic...
Wolfgang Steffen, Nicholas Koning, Stephan Wenger,...
JCNS
2010
103views more  JCNS 2010»
14 years 11 months ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski