: Data Quality is a major stake for large organizations and software companies are proposing increasing numbers of tools focusing on these issues. The scope of these tools is movin...
Sequential optimal design methods hold great promise for improving the efficiency of neurophysiology experiments. However, previous methods for optimal experimental design have in...
Jeremy Lewi, Robert J. Butera, David M. Schneider,...
: Data quality (DQ) is emerging as a new relevant area for the improvement of the effectiveness of organizations. Despites the consequences of poor quality of data are often experi...
Carlo Batini, Daniele Barone, Michele Mastrella, A...
We present a novel mathematical formalism for the idea of a "local model" of an uncontrolled dynamical system, a model that makes only certain predictions in only certai...
We propose a novel bound on single-variable marginal probability distributions in factor graphs with discrete variables. The bound is obtained by propagating local bounds (convex ...
: Motivated by the problem of out-of-shelf (OOS) in retail industry and the emergence of RFID (Radio Frequency Identification) technology, this paper investigates the impact that t...
We address the problem of learning classifiers for several related tasks that may differ in their joint distribution of input and output variables. For each task, small
We consider the problem of transforming a signal to a representation in which the components are statistically independent. When the signal is generated as a linear transformation...