We present a new method to estimate the Hurst parameter of the increment process in network traffic – a process that is assumed to be self-similar. The confidence intervals an...
Abstract: A closer look at typical information systems shows that relatively simple routines often contribute significantly to the overall expenses of the software development proc...
We consider a novel problem of learning an optimal matching, in an online fashion, between two feature spaces that are organized as taxonomies. We formulate this as a multi-armed ...
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...