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» New Algorithms for Statistical Analysis of Interval Data
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JMLR
2010
163views more  JMLR 2010»
14 years 6 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
CORR
2010
Springer
114views Education» more  CORR 2010»
14 years 9 months ago
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms
The interplay between the mutation operator and the selection mechanism plays a fundamental role in the behaviour of evolutionary algorithms (EAs). However, this interplay is stil...
Per Kristian Lehre, Xin Yao
PRL
2000
182views more  PRL 2000»
14 years 11 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
SIGOPS
2010
162views more  SIGOPS 2010»
14 years 10 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
BIOINFORMATICS
2005
105views more  BIOINFORMATICS 2005»
14 years 11 months ago
MADE4: an R package for multivariate analysis of gene expression data
Summary: MADE4, microarray ade4, is a software package that facilitates multivariate analysis of microarray gene expression data. MADE4 accepts a wide variety of gene expression d...
Aedín C. Culhane, Jean Thioulouse, Guy Perr...