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AMAI
2008
Springer
15 years 3 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
COMCOM
2010
179views more  COMCOM 2010»
15 years 3 months ago
On the statistical characterization of flows in Internet traffic with application to sampling
A new method of estimating some statistical characteristics of TCP flows in the Internet is developed in this paper. For this purpose, a new set of random variables (referred to as...
Yousra Chabchoub, Christine Fricker, Fabrice Guill...
CORR
2010
Springer
144views Education» more  CORR 2010»
15 years 3 months ago
Privacy-Preserving Protocols for Eigenvector Computation
Abstract. In this paper, we present a protocol for computing the principal eigenvector of a collection of data matrices belonging to multiple semi-honest parties with privacy const...
Manas A. Pathak, Bhiksha Raj
113
Voted
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 3 months ago
Metric Structures and Probabilistic Computation
Abstract. Continuous first-order logic is used to apply model-theoretic analysis to analytic structures (e.g. Hilbert spaces, Banach spaces, probability spaces, etc.). Classical co...
Wesley Calvert
109
Voted
DKE
2006
67views more  DKE 2006»
15 years 3 months ago
Indexed-based density biased sampling for clustering applications
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
Alexandros Nanopoulos, Yannis Theodoridis, Yannis ...