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BMCBI
2010
152views more  BMCBI 2010»
14 years 12 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...
CSE
2009
IEEE
15 years 6 months ago
Security Implications of Virtualization: A Literature Study
— Data centers accumulate corporate and personal data at a rapid pace. Driven by economy of scale and the high bandwidth of today’s network connections, more and more businesse...
André van Cleeff, Wolter Pieters, Roel Wier...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 5 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
SEMWEB
2007
Springer
15 years 6 months ago
Dynamic Ontology Co-Evolution from Texts: Principles and Case Study
As claimed in the Semantic Web project, a huge amount of physically distributed interacting software agents could find the semantic of available resources and answer more relevantl...
Kévin Ottens, Nathalie Aussenac-Gilles, Mar...
IJAR
2008
76views more  IJAR 2008»
14 years 12 months ago
Evidence and scenario sensitivities in naive Bayesian classifiers
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...
Silja Renooij, Linda C. van der Gaag