Classification problems with uneven class distributions present several difficulties during the training as well as during the evaluation process of classifiers. A classification ...
Sophia Daskalaki, Ioannis Kopanas, Nikolaos M. Avo...
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
This paper presents an algorithm for incorporating a priori knowledge into data-driven identification of dynamic fuzzy models of the Takagi-Sugeno type. Knowledge about the modell...
Posing speculative questions about a software system is an important yet often unsupported activity. Current impact analysis techniques tend to focus upon the functionality of the...
Jane Cleland-Huang, Carl K. Chang, Gaurav Sethi, K...
We develop a general methodology to analyze crosstalk effects that are likely to cause errors in deep submicron high speed circuits. We focus on crosstalk due to capacitive coupli...