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» Testing homogeneity of a large data set by bootstrapping
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BMCBI
2010
92views more  BMCBI 2010»
14 years 12 months ago
Integrating gene expression and GO classification for PCA by preclustering
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
Jorn R. de Haan, Ester Piek, René C. van Sc...
BMCBI
2008
126views more  BMCBI 2008»
14 years 12 months ago
Relating gene expression data on two-component systems to functional annotations in Escherichia coli
Background: Obtaining physiological insights from microarray experiments requires computational techniques that relate gene expression data to functional information. Traditionall...
Anne M. Denton, Jianfei Wu, Megan K. Townsend, Pre...
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 3 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
ATS
2009
IEEE
111views Hardware» more  ATS 2009»
15 years 6 months ago
Dynamic Compaction in SAT-Based ATPG
SAT-based automatic test pattern generation has several advantages compared to conventional structural procedures, yet often yields too large test sets. We present a dynamic compa...
Alejandro Czutro, Ilia Polian, Piet Engelke, Sudha...
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 3 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian