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» Hedging predictions in machine learning
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ISBI
2008
IEEE
16 years 5 months ago
Flexible synapse detection in fluorescence micrographs by modeling human expert grading
A particularly difficult task in molecular imaging is the analysis of fluorescence microscopy images of neural tissue, as they usually exhibit a high density of objects with diffu...
Julia Herold, Manuela Friedenberger, Marcus Bode, ...
RSEISP
2007
Springer
15 years 10 months ago
Generalizing Data in Natural Language
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
Ryszard S. Michalski, Janusz Wojtusiak
IUI
2006
ACM
15 years 10 months ago
Inducing shortcuts on a mobile phone interface
Due to size restrictions, mobile phone user interfaces are often difficult to use[8]. In this short paper, we investigated inducing shortcuts to replace the sequence of actions re...
Robert Bridle, Eric McCreath
ESSMAC
2003
Springer
15 years 9 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
AAAI
2008
15 years 6 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling