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» Bayesian Network Trust Model in Peer-to-Peer Networks
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JMLR
2012
11 years 11 months ago
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Martin Schiegg, Marion Neumann, Kristian Kersting
GLOBECOM
2009
IEEE
14 years 25 days ago
Exploring Simulated Annealing and Graphical Models for Optimization in Cognitive Wireless Networks
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
Elena Meshkova, Janne Riihijärvi, Andreas Ach...
ACMSE
2006
ACM
14 years 3 months ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...
NOSSDAV
2009
Springer
14 years 3 months ago
Probabilistic event resolution with the pairwise random protocol
Peer-to-peer distributed virtual environments (DVE's) distribute state tracking and state transitions. Many DVE's - such as online games - require ways to fairly determi...
John L. Miller, Jon Crowcroft
CIKM
2010
Springer
13 years 7 months ago
Discriminative factored prior models for personalized content-based recommendation
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
Lanbo Zhang, Yi Zhang 0001