This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
Optical character recognition (OCR) remains a difficult problem for noisy documents or documents not scanned at high resolution. Many current approaches rely on stored font models...
Andrew Kae, Gary Huang, Erik Learned-miller, Carl ...
In this paper we describe techniques for the specification and verification of model transformations using a combination of UML and formal methods. The use of UML 2 notations to s...
Copulas enable to specify multivariate distributions with given marginals.Various parametric proposals were made in the literature for these quantities, mainly in the bivariate ca...
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...