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» On Bayesian model and variable selection using MCMC
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IM
2003
14 years 11 months ago
Generic On-Line Discovery of Quantitative Models for Service Level Management
: Quantitative models are needed for a variety of management tasks, including (a) identification of critical variables to use for health monitoring, (b) anticipating service level...
Yixin Diao, Frank Eskesen, Steve Froehlich, Joseph...
CVPR
2009
IEEE
16 years 5 months ago
Joint and Implicit Registration for Face Recognition
Contemporary face recognition algorithms rely on precise localization of keypoints (corner of eye, nose etc.). Unfortunately, finding keypoints reliably and accurately remains a...
Peng Li, Simon J. D. Prince
KR
2004
Springer
15 years 3 months ago
GAI Networks for Utility Elicitation
This paper deals with preference representation and elicitation in the context of multiattribute utility theory under risk. Assuming the decision maker behaves according to the EU...
Christophe Gonzales, Patrice Perny
82
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BMCBI
2008
92views more  BMCBI 2008»
14 years 9 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...
ICML
2007
IEEE
15 years 10 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson