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» Classes and clusters in data analysis
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WEBI
2004
Springer
15 years 3 months ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
ICML
2005
IEEE
15 years 10 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
ICONIP
2007
14 years 11 months ago
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
Shohei Shimizu, Aapo Hyvärinen
ISSRE
2003
IEEE
15 years 3 months ago
Investigating Java Type Analyses for the Receiver-Classes Testing Criterion
This paper investigates the precision of three linearcomplexity type analyses for Java software: Class Hierarchy Analysis (CHA), Rapid Type Analysis (RTA) and Variable Type Analys...
Pierre-Luc Brunelle, Ettore Merlo, Giuliano Antoni...
BMCBI
2007
112views more  BMCBI 2007»
14 years 10 months ago
Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...