Buscar
Mostrando ítems 1-10 de 450
Learning Markov Network Structures Constrained by Context-Specific Independences
(World Scientific, 2014-12)
This work focuses on learning the structure of Markov networks from data. Markov networks are parametric models for compactly representing complex probability distributions. These models are composed by: a structure and ...
Extension algorithms for reactive routing protocols on Ad-Hoc networks
(IEEE, 2009)
In reactive routing algorithms on Ad-Hoc networks, one of the most important challenges is to minimize the number of route discovery processes, due to their high cost in bandwidth. This is achieved through a careful selection ...
The IBMAP approach for Markov network structure learning
(Springer, 2014-04)
In this work we consider the problem of learning the structure of Markov networks from data. We present an approach for tackling this problem called IBMAP, together with an efficient instantiation of the approach: the ...
False Detections in an Optical Coding-Based PON Monitoring Scheme
(Institute of Electrical and Electronics Engineers, 2017-05)
We address the issue of false detections in an optical coding-based PON monitoring scheme. An analytical expression for the average number of false detections is derived and the system performance in terms of false detections ...
Pheromone-based In-Network Processing for wireless sensor network monitoring systems
(Macrothink Institute, 2012-12)
Monitoring spatio-temporal continuous fields using wireless sensor networks (WSNs) has emerged as a novel solution. An efficient data-driven routing mechanism for sensor querying and information gathering in large-scale ...
Sistema de detecção de intrusão baseado no algoritmo local outlier factor (LOF)
(Universidade Tecnológica Federal do ParanáMedianeiraBrasilCiência da ComputaçãoUTFPR, 2021-08-11)
Network intrusion detection is a growing research field within the area of Information Security. Research in this area tries to make systems and networks increasingly secure and reliable, both for end users and for other ...
Comparative Study of Clustering Algorithms in Text Mining Context
The spectacular increasing of Data is due to
the appearance of networks and smartphones. Amount 42% of
world population using internet [1]; have created a problem
related of the processing of the data exchanged, which ...
Uma abordagem baseada em computação evolutiva aplicado na inferência de redes de regulação gênica
(Universidade Tecnológica Federal do ParanáCornelio ProcopioBrasilTecnologia em Análise e Desenvolvimento de SistemasUTFPR, 2015)
A living organism can be seen as a network of molecules connected by biochemical reactions that has a complex system of sending and receiving signals that perform cellular control. Studies are being conducted to understand ...