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» A Functional Model for Data Analysis
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JMLR
2012
13 years 6 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
BMCBI
2006
146views more  BMCBI 2006»
15 years 4 months ago
GeneTools - application for functional annotation and statistical hypothesis testing
Background: Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement ...
Vidar Beisvag, Frode K. R. Jünge, Hallgeir Be...
CW
2003
IEEE
15 years 9 months ago
Mesh Generation and Refinement of Polygonal Data Sets
This paper presents work in progress and continues a project devoted to developing shape modeling system based on implementation of radial based function (RBF) technology. In this...
Vladimir V. Savchenko, Irina B. Semenova, Nikita K...
NAR
2002
138views more  NAR 2002»
15 years 4 months ago
The Protein Information Resource: an integrated public resource of functional annotation of proteins
The Protein Information Resource (PIR) serves as an integrated public resource of functional annotation of protein data to support genomic/proteomic research and scientific discov...
Cathy H. Wu, Hongzhan Huang, Leslie Arminski, Jorg...
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 4 months ago
Model structure adequacy analysis: selecting models on the basis of their ability to answer scientific questions
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...