Abstract. We present a method for using aligned ontologies to merge taxonomically organized data sets that have apparently compatible schemas, but potentially different semantics f...
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
Abstract: We report on a model for the interaction of chimeric melanocortin Gprotein coupled receptors with peptide ligands using the rough set approach. Rough sets generate If-The...
We investigate the topical structure of the set of documents used to expand a query in pseudorelevance feedback (PRF). We propose a coherence score to measure the relative topical...
Linear sets generalise the concept of subgeometries in a projective space. They have many applications in finite geometry. In this paper we address two problems for linear sets: t...