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» A Complexity Based Feature to Support Emergence in MAS
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SIGSOFT
2007
ACM
14 years 9 months ago
Measuring empirical computational complexity
The standard language for describing the asymptotic behavior of algorithms is theoretical computational complexity. We propose a method for describing the asymptotic behavior of p...
Simon Goldsmith, Alex Aiken, Daniel Shawcross Wilk...
BMCBI
2007
173views more  BMCBI 2007»
13 years 8 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
SAINT
2006
IEEE
14 years 2 months ago
Dynamic Configuration of Semantic-Based Service Provisioning to Portable Devices
Context-awareness is starting to emerge as a key driving principle for the design and provisioning of pervasive services in pervasive computing environments. Semantic languages se...
Antonio Corradi, Rebecca Montanari, Alessandra Ton...
CSL
2006
Springer
13 years 8 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
ADBIS
2010
Springer
136views Database» more  ADBIS 2010»
13 years 10 months ago
New Frontiers in Business Intelligence: Distribution and Personalization
Abstract. To meet the new, more sophisticated needs of decision makers, a new generation of BI systems is emerging. In this paper we focus on two enabling technologies for this new...
Stefano Rizzi