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» Bayesian Inference for Sparse Generalized Linear Models
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BMCBI
2007
143views more  BMCBI 2007»
15 years 2 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
15 years 6 months ago
ERACER: a database approach for statistical inference and data cleaning
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
Chris Mayfield, Jennifer Neville, Sunil Prabhakar
132
Voted
ICCV
2007
IEEE
16 years 3 months ago
3-D Reconstruction from Sparse Views using Monocular Vision
We consider the task of creating a 3-d model of a large novel environment, given only a small number of images of the scene. This is a difficult problem, because if the images are...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
132
Voted
SIGIR
2003
ACM
15 years 7 months ago
Bayesian extension to the language model for ad hoc information retrieval
We propose a Bayesian extension to the ad-hoc Language Model. Many smoothed estimators used for the multinomial query model in ad-hoc Language Models (including Laplace and Bayes-...
Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping
181
Voted
ISMIS
2011
Springer
14 years 4 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski