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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 9 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
PDCAT
2005
Springer
14 years 2 months ago
An Agile Programming Model for Grid End Users
Grid and service computing technologies have been explored by enterprises to promote integration, sharing, and collaboration. However, quick response to business environment chang...
Zhiwei Xu, Chengchun Shu, Haiyan Yu, Haozhi Liu
MANSCI
2007
100views more  MANSCI 2007»
13 years 8 months ago
Dynamic Assortment with Demand Learning for Seasonal Consumer Goods
Companies such as Zara and World Co. have recently implemented novel product development processes and supply chain architectures enabling them to make more product design and ass...
Felipe Caro, Jérémie Gallien
ICPR
2006
IEEE
14 years 3 months 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
ECSA
2011
Springer
12 years 8 months ago
Delta-oriented architectural variability using MontiCore
Modeling of software architectures is a fundamental part of software development processes. Reuse of software components and early analysis of software topologies allow the reduct...
Arne Haber, Thomas Kutz, Holger Rendel, Bernhard R...