Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
Abstract. One of the most important features in an urban geographic information system is the ability to locate addresses, in any form employed by the population, in a quick and ef...
Clodoveu A. Davis, Frederico T. Fonseca, Karla A. ...
One-way hash functions are an important tool in achieving authentication and data integrity. The aim of this paper is to propose a novel one-way hash function based on cellular aut...