Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
We introduce a semi-supervised approach to training for statistical machine translation that alternates the traditional Expectation Maximization step that is applied on a large tr...
Astatistical theory of local alignmentalgorithms with gaps is presented. Both the linear and logarithmic phases, as well as the phase transition separating the two phases, are des...
Background: Design of protein structure comparison algorithm is an important research issue, having far reaching implications. In this article, we describe a protein structure com...
Our ontology schema matching algorithm takes the essence of the locality of reference by considering the neighboring concepts and relations to align the entities of ontologies. It ...