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PE
2010
Springer
114views Optimization» more  PE 2010»
15 years 5 months ago
Analysis of scheduling policies under correlated job sizes
Correlations in traffic patterns are an important facet of the workloads faced by real systems, and one that has far-reaching consequences on the performance and optimization of t...
Varun Gupta, Michelle Burroughs, Mor Harchol-Balte...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 7 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
16 years 7 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
COMPSAC
2008
IEEE
16 years 1 months ago
Ontology Model-Based Static Analysis on Java Programs
1 Typical enterprise and military software systems consist of millions of lines of code with complicated dependence on library abstractions. Manually debugging these codes imposes ...
Lian Yu, Jun Zhou, Yue Yi, Ping Li, Qianxiang Wang
ICPR
2006
IEEE
16 years 24 days ago
Fast Linear Discriminant Analysis Using Binary Bases
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
Feng Tang, Hai Tao