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...
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...
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...
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...
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...