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ML
2006
ACM
122views Machine Learning» more  ML 2006»
15 years 6 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ICASSP
2009
IEEE
16 years 27 days ago
Space Kernel Analysis
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...
Liuling Gong, Dan Schonfeld
RAID
2004
Springer
15 years 11 months ago
Attack Analysis and Detection for Ad Hoc Routing Protocols
Abstract. Attack analysis is a challenging problem, especially in emerging environments where there are few known attack cases. One such new environment is the Mobile Ad hoc Networ...
Yi-an Huang, Wenke Lee
TSMC
2008
117views more  TSMC 2008»
15 years 4 months ago
Discovery of High-Level Behavior From Observation of Human Performance in a Strategic Game
This paper explores the issues faced in creating a sys-4 tem that can learn tactical human behavior merely by observing5 a human perform the behavior in a simulation. More specific...
Brian S. Stensrud, Avelino J. Gonzalez