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IQ
2007
13 years 10 months ago
An Evaluation Framework For Data Quality Tools
: 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...
Virginie Goasdoué, Sylvaine Nugier, Dominiq...
NIPS
2008
13 years 10 months ago
Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
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,...
IQ
2007
13 years 10 months ago
A Framework And A Methodology For Data Quality Assessment And Monitoring
: 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...
NIPS
2008
13 years 10 months ago
Simple Local Models for Complex Dynamical Systems
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...
Erik Talvitie, Satinder Singh
NIPS
2008
13 years 10 months ago
Bounds on marginal probability distributions
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 ...
Joris M. Mooij, Hilbert J. Kappen
IQ
2007
13 years 10 months ago
Assessing Information Quality In A RFID-Integrated Shelf Replenishment Decision Support System For The Retail Industry
: 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...
Cleopatra Bardaki, Katerina Pramatari
NIPS
2008
13 years 10 months ago
Transfer Learning by Distribution Matching for Targeted Advertising
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
Steffen Bickel, Christoph Sawade, Tobias Scheffer
NIPS
2008
13 years 10 months ago
Reducing statistical dependencies in natural signals using radial Gaussianization
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...
Siwei Lyu, Eero P. Simoncelli