We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
Checking value-sensitive data structures in sublinear space has been an open problem for over a decade. In this paper, we suggest a novel approach to solving it. We show that, in c...
In this paper, we outline a framework for appropriate and proper usage of simulated data for biometric authentication. Currently, there are no formal guidelines concerning the use...
Abstract. Data integration is the process by which data from heterogeneous data sources are conceptually integrated into a single cohesive data set. In recent years agents have bee...