In this paper, we present the results that we have obtained by comparing and testing three well-known database middleware solutions. We have analyzed their features related to glo...
We present a framework for the estimation of the size of binary recursively defined relations. We show how the framework can be used to provide estimating algo rithms for the size...
: Despite many years of research on how to properly align sequences in the presence of sequencing errors, alternative splicing and micro-exons, the correct alignment of mRNA sequen...
Abstract. In this paper, we propose that the select operator in relational databases be adopted for incorporating evidence in Bayesian networks. This approach does not involve the ...
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...