In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
The design and implementation of the reconstruction system in medical X-ray imaging is a challenging issue due to its immense computational demands. In order to ensure an efficien...
Holger Scherl, Stefan Hoppe, Markus Kowarschik, Jo...
Test-driven software development tackles the problem of operationally defining the features to be implemented by means of test cases. This approach was recently ported to the earl...
Filippo Ricca, Massimiliano Di Penta, Marco Torchi...