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» Embedding Heterogeneous Data Using Statistical Models
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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 1 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
ISCAS
2011
IEEE
342views Hardware» more  ISCAS 2011»
12 years 11 months ago
Parallel Dynamic Voltage and Frequency Scaling for stream decoding using a multicore embedded system
—Parallel structures may be used to increase a system processing speed in case of large amount of data or highly complex calculations. Dynamic Voltage and Frequency Scaling (DVFS...
Ying-Xun Lai, Yueh-Min Huang, Chin-Feng Lai, Ljilj...
BMCBI
2005
126views more  BMCBI 2005»
13 years 7 months ago
Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
IVS
2008
99views more  IVS 2008»
13 years 7 months ago
Visual analytics science and technology
The second Visual Analytics Science and Technology (VAST) contest's data consisted of a heterogeneous synthetic collection of news articles with additional supporting files a...
William Ribarsky, John Dill
BMCBI
2008
132views more  BMCBI 2008»
13 years 7 months ago
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Raffaele Giancarlo, Davide Scaturro, Filippo Utro