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IJIS
2006
64views more  IJIS 2006»
15 years 6 months ago
Introducing fuzziness in object models and database interfaces through aspects
Imperfection in information can be considered a cross
Miguel-Ángel Sicilia, Elena García B...
NECO
2002
104views more  NECO 2002»
15 years 6 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
CIKM
2011
Springer
14 years 6 months ago
Towards noise-resilient document modeling
We introduce a generative probabilistic document model based on latent Dirichlet allocation (LDA), to deal with textual errors in the document collection. Our model is inspired by...
Tao Yang, Dongwon Lee
228
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BMCBI
2008
159views more  BMCBI 2008»
15 years 7 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
MICCAI
2004
Springer
16 years 7 months ago
Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery
Organ deformation between preoperative image data and the patient in the OR is the main obstacle for using surgical navigation systems in liver surgery. Our approach is to provide ...
Thomas Lange, Sebastian Eulenstein, Michael Hü...