The objective of ent i ty identification i s t o determine the correspondence between object instances f r o m more than one database. This paper ezamines the problem at the instance level assuming that schema level heterogeneity has been resolved a priori . Soundness and completeness are defined as the desired properties of any ent i ty identification technique. To achieve soundness, a set of ...

Rational inductive behaviour is strongly influenced by existing knowledge of the world. This paper begins to elucidate the formal relationship between the base-level induction to be attempted, the direct evidence for it (positive and negative instances) and the indirect evidence (higher-level regularities in the world). By constructing a program to search the space of forms of higher-level regu...

Abstract Traditionally, linguists have organized languages of the world as language families, such Indo-European, Dravidian and Sino-Tibetan. Within Indo-European family, they further into sub-families Germanic, Celtic Indo-Iranian. They do this by looking at similar-sounding words across commonality rules word formation sentence construction. In work, we make use computational approaches that ...

Classification is a fundamental problem in machine learning and data mining. During the past decades, numerous classification methods have been presented based on different principles. However, most existing classifiers cast as an optimization do not address issue of statistical significance. In this paper, we formulate binary two-sample testing problem. More precisely, our model generic framew...