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» A Data Analysis Method for Software Performance Prediction
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ALT
2008
Springer
16 years 14 days ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
ICIP
2006
IEEE
16 years 5 months ago
Rotational Invariance in Adaptive fMRI Data Analysis
It has previously been shown that canonical correlation analysis (CCA) works well for detecting neural activity in fMRI data. This is due to the ability of CCA to perform simultan...
Joakim Rydell, Hans Knutsson, Magnus Borga
ISSRE
2010
IEEE
15 years 2 months ago
Is Data Privacy Always Good for Software Testing?
—Database-centric applications (DCAs) are common in enterprise computing, and they use nontrivial databases. Testing of DCAs is increasingly outsourced to test centers in order t...
Mark Grechanik, Christoph Csallner, Chen Fu, Qing ...
152
Voted
BMCBI
2006
146views more  BMCBI 2006»
15 years 3 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
140
Voted
BMCBI
2010
152views more  BMCBI 2010»
15 years 3 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...