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FLAIRS
2004
13 years 6 months ago
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
Adam Zagorecki, Marek J. Druzdzel
CCS
2008
ACM
13 years 6 months ago
Spamalytics: an empirical analysis of spam marketing conversion
The "conversion rate" of spam -- the probability that an unsolicited e-mail will ultimately elicit a "sale" -- underlies the entire spam value proposition. How...
Chris Kanich, Christian Kreibich, Kirill Levchenko...
JMLR
2006
106views more  JMLR 2006»
13 years 4 months ago
Stability Properties of Empirical Risk Minimization over Donsker Classes
We study some stability properties of algorithms which minimize (or almost-minimize) empirical error over Donsker classes of functions. We show that, as the number n of samples gr...
Andrea Caponnetto, Alexander Rakhlin
DSP
2008
13 years 5 months ago
Empirical Bayes linear regression with unknown model order
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
Yngve Selén, Erik G. Larsson
WIOPT
2010
IEEE
13 years 3 months ago
Hub-betweenness analysis in delay tolerant networks inferred by real traces
—In this paper we study the influence of using hub nodes to relay messages in human-based delay tolerant networks (DTNs), by analyzing empirical traces obtained by human mobilit...
Giuliano Grossi, Federico Pedersini