The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
We present a formal analysis of the following view-selection problem: Given a set of queries and a database, return definitions of views that, when materialized in the database, w...
Jingni Li, Zohreh Asgharzadeh Talebi, Rada Chirkov...
In functional Magnetic Resonance Imaging (fMRI), recent works have addressed the non parametric estimation of the Hemodynamic Response Function (HRF) under linearity and stationar...
Sophie Donnet, Marc Lavielle, Philippe Ciuciu, Jea...
At Eurocrypt 2005, Boneh, Boyen and Goh presented a constant size ciphertext hierarchical identity based encryption (HIBE) protocol. Our main contribution is to present a variant ...
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...