Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
Abstract. We consider weighted o-minimal hybrid systems, which extend classical o-minimal hybrid systems with cost functions. These cost functions are “observer variables” whic...
Patricia Bouyer, Thomas Brihaye, Fabrice Chevalier
In this paper we are mainly concerned with discussion of a formal model, based on the basic concept of divergence from information theory, for automatic query expansion. The basic...
paper, the unified, abstract KEYSTONE Public Key Infrastructure is presented.This architecture consists of a reference model, a functional architecture specification, and a set of ...
Stefanos Gritzalis, Sokratis K. Katsikas, Dimitrio...
This paper attacks a Japanese syllable-substitution cipher. We use a probabilistic, noisy-channel framework, exploiting various Japanese language models to drive the decipherment. ...