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AMAI
2008
Springer
15 years 6 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
ANOR
2010
120views more  ANOR 2010»
15 years 6 months ago
Stochastic models for risk estimation in volatile markets: a survey
Abstract The problem of portfolio risk estimation in volatile markets requires employing fat-tailed models for financial instrument returns combined with copula functions to captur...
Stoyan V. Stoyanov, Borjana Racheva-Iotova, Svetlo...
BC
2007
77views more  BC 2007»
15 years 6 months ago
Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems
Many perceptual and cognitive processes, like decision-making and bistable perception, involve multistable phenomena under the influence of noise. The role of noise in a multistab...
Gustavo Deco, Daniel Martí
COMCOM
2006
114views more  COMCOM 2006»
15 years 6 months ago
A comparison of epidemic algorithms in wireless sensor networks
We consider the problem of reliable data dissemination in the context of wireless sensor networks. For some application scenarios, reliable data dissemination to all nodes is nece...
Mert Akdere, Cemal Çagatay Bilgin, Ozan Ger...
JSS
2006
58views more  JSS 2006»
15 years 6 months ago
A semantic-based P2P resource organization model R-Chord
This paper proposes a semantic-based P2P resource organization model R-Chord by incorporating the Resource Space Model (RSM), the P2P Semantic Link Network Model (P2PSLN) and the ...
Jie Liu, Hai Zhuge