Browsing Scientific Publications in Information and Communication Technology by Subject "VDP::Mathematics and natural science: 400::Information and communication science: 420"
Now showing items 1-7 of 7
-
An adaptive approach to learning the preferences of users in a social network using weak estimators
(Journal article; Peer reviewed, 2012)Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to ... -
"Anti-Bayesian" parametric pattern classification using order statistics criteria for some members of the exponential family
(Journal article; Peer reviewed, 2013)This paper submits a comprehensive report of the use of order statistics (OS) for parametric pattern recognition (PR) for various distributions within the exponential family. Although the field of parametric PR has been ... -
Automatic evaluation of information provider reliability and expertise
(Journal article; Peer reviewed, 2013)Q&A social media have gained a lot of attention during the recent years. People rely on these sites to obtain information due to a number of advantages they offer as compared to conventional sources of knowledge (e.g., ... -
Classes of sum-of-cisoids processes and their statistics for the modeling and simulation of mobile fading channels
(Journal article; Peer reviewed, 2013)In this paper, we present a fundamental study on the stationarity and ergodicity of eight classes of sum-of-cisoids (SOC) processes for the modeling and simulation of frequency-nonselective mobile Rayleigh fading channels. ... -
Optimal Service Placement with QoS Monitoring in NFV and Slicing Enabled 5G IoT Networks
(Chapter, 2021)Network function virtualization (NFV) and network slicing are two promising enabling technologies for 5G networks. Considering the volume of data traffic generated by Internet of things (IoT) applications and their service ... -
Optimal “anti-Bayesian” parametric pattern classification using Order Statistics criteria
(Lecture Notes in Computer Science;7441, Chapter; Peer reviewed, 2012)The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature ... -
The impact of shadowing and the severity of fading on the first and second order statistics of the capacity of OSTBC MIMO Nakagami-lognormal channels
(Journal article; Peer reviewed, 2011)This article presents a thorough statistical analysis of the capacity of orthogonal space-time block coded (OSTBC) multiple-input multiple-output (MIMO) Nakagami- lognormal (NLN) channels. The NLN channel model allows to ...