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» Exploiting Causal Independence in Large Bayesian Networks
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LREC
2010
176views Education» more  LREC 2010»
13 years 9 months ago
WikiNet: A Very Large Scale Multi-Lingual Concept Network
This paper describes a multi-lingual concept network obtained automatically by mining for concepts and relations and exploiting a variety of sources of knowledge from Wikipedia. C...
Vivi Nastase, Michael Strube, Benjamin Boerschinge...
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
ICCV
2005
IEEE
14 years 1 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
COMPSAC
2008
IEEE
14 years 2 months ago
Measuring Network Security Using Bayesian Network-Based Attack Graphs
Given the increasing dependence of our societies on information systems, the overall security of these systems should be measured and improved. Existing work generally focuses on ...
Marcel Frigault, Lingyu Wang
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 29 days ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...