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ICASSP
2011
IEEE
12 years 11 months ago
Nonparametric Bayesian feature selection for multi-task learning
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Hui Li, Xuejun Liao, Lawrence Carin
JMLR
2002
115views more  JMLR 2002»
13 years 7 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
BMCBI
2011
13 years 2 months ago
Empirical Bayesian models for analysing molecular serotyping microarrays
Background: Microarrays offer great potential as a platform for molecular diagnostics, testing clinical samples for the presence of numerous biomarkers in highly multiplexed assay...
Richard Newton, Jason Hinds, Lorenz Wernisch
LREC
2010
190views Education» more  LREC 2010»
13 years 9 months ago
Applying a Dynamic Bayesian Network Framework to Transliteration Identification
Identification of transliterations is aimed at enriching multilingual lexicons and improving performance in various Natural Language Processing (NLP) applications including Cross ...
Peter Nabende
NIPS
2008
13 years 9 months ago
Using Bayesian Dynamical Systems for Motion Template Libraries
Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
Silvia Chiappa, Jens Kober, Jan Peters