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ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 4 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
JMLR
2012
13 years 1 days ago
A Bayesian Analysis of the Radioactive Releases of Fukushima
The Fukushima Daiichi disaster 11 March, 2011 is considered the largest nuclear accident since the 1986 Chernobyl disaster and has been rated at level 7 on the International Nucle...
Ryota Tomioka, Morten Mørup
BMCBI
2005
97views more  BMCBI 2005»
14 years 9 months ago
Modelling the correlation between the activities of adjacent genes in drosophila
Background: Correlation between the expression levels of genes which are located close to each other on the genome has been found in various organisms, including yeast, drosophila...
Helene H. Thygesen, Aeilko H. Zwinderman
108
Voted
BMCBI
2008
214views more  BMCBI 2008»
14 years 8 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
DAGM
2006
Springer
15 years 1 months ago
Exploiting Low-Level Image Segmentation for Object Recognition
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
Volker Roth, Björn Ommer