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ICASSP
2010
IEEE
15 years 6 months ago
An adaptive level of detail approach to nonlinear estimation
In this work, we present a general method for approximating nonlinear transformations of Gaussian mixture random variables. It is based on transforming the individual Gaussians wi...
Friedrich Faubel, Dietrich Klakow
CSDA
2008
80views more  CSDA 2008»
15 years 6 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
DATAMINE
2008
112views more  DATAMINE 2008»
15 years 6 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett
CONNECTION
2006
101views more  CONNECTION 2006»
15 years 6 months ago
Learning acceptable windows of contingency
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
Kevin Gold, Brian Scassellati
CORR
2007
Springer
117views Education» more  CORR 2007»
15 years 6 months ago
Dependable k-coverage algorithms for sensor networks
– Redundant sensing capabilities are often required in sensor network applications due to various reasons, e.g. robustness, fault tolerance, or increased accuracy. At the same ti...
Simon Gyula, Miklós Molnár, Lá...