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ICASSP
2011
IEEE
13 years 4 days 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
2000
134views more  JMLR 2000»
13 years 8 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan
JCNS
2002
72views more  JCNS 2002»
13 years 8 months ago
Noise and the PSTH Response to Current Transients: II. Integrate-and-Fire Model with Slow Recovery and Application to Motoneuron
A generalized version of the integrate-and-fire model is presented that qualitatively reproduces firing rates and membrane trajectories of motoneurons. The description is based on ...
Alix Herrmann, Wulfram Gerstner
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
13 years 6 months ago
Photometry-based visual servoing using light reflexion models
Abstract-- We present in this paper a way to achieve positioning tasks by visual servoing under complex luminance variations. To do that, we use as visual features the luminance of...
Christophe Collewet, Éric Marchand
JCP
2006
118views more  JCP 2006»
13 years 8 months ago
Learning a Classification-based Glioma Growth Model Using MRI Data
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
Marianne Morris, Russell Greiner, Jörg Sander...