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ICASSP
2011
IEEE
14 years 10 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
ICIP
2008
IEEE
16 years 23 days ago
A Bayesian approach to predicting the perceived interest of objects
This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...
Srivani Pinneli, Damon M. Chandler
CSDA
2007
202views more  CSDA 2007»
15 years 6 months ago
Bayesian estimation of the Gaussian mixture GARCH model
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions. This GARCH model...
María Concepción Ausín, Pedro...
EMNLP
2009
15 years 4 months ago
Bayesian Learning of Phrasal Tree-to-String Templates
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
Ding Liu, Daniel Gildea
ATAL
2004
Springer
15 years 11 months ago
A Bayes Net Approach to Argumentation
Argumentation-based negotiation approaches have been proposed to present realistic negotiation contexts. This paper presents a novel Bayesian network based argumentation and decis...
Sabyasachi Saha, Sandip Sen