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JCST
2010
139views more  JCST 2010»
15 years 2 months ago
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Dilan Görür, Carl Edward Rasmussen
CSDA
2007
106views more  CSDA 2007»
15 years 4 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
EDM
2009
184views Data Mining» more  EDM 2009»
15 years 2 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
15 years 10 months ago
Adaptive Interacting Multiple Models applied on pedestrian tracking in car parks
— To address perception problems we must be able to track dynamics targets of the environment. An important issue of tracking is filtering problem in which estimates of the targ...
Julien Burlet, Olivier Aycard, Anne Spalanzani, Ch...
155
Voted
NIPS
2007
15 years 5 months ago
Modelling motion primitives and their timing in biologically executed movements
Biological movement is built up of sub-blocks or motion primitives. Such primitives provide a compact representation of movement which is also desirable in robotic control applica...
Ben H. Williams, Marc Toussaint, Amos J. Storkey