Sciweavers

465 search results - page 41 / 93
» Active Learning for Parameter Estimation in Bayesian Network...
Sort
View
CSDA
2007
134views more  CSDA 2007»
15 years 3 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
IJSNET
2007
155views more  IJSNET 2007»
15 years 3 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard
TNN
2008
82views more  TNN 2008»
15 years 3 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
ACMICEC
2008
ACM
276views ECommerce» more  ACMICEC 2008»
15 years 5 months ago
A Bayesian network for IT governance performance prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT...
Mårten Simonsson, Robert Lagerström, Po...
MMNS
2003
98views Multimedia» more  MMNS 2003»
15 years 4 months ago
Managing Services Quality through Admission Control and Active Monitoring
We propose a lightweight traffic admission control scheme based on on-line monitoring which ensures multimedia services quality both intra-domain and end-to-end. The AC strategy i...
Solange Rito Lima, Paulo Carvalho, Alexandre Santo...