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PASTE
2010
ACM
14 years 28 days ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
CCS
2009
ACM
14 years 8 months ago
Automating analysis of large-scale botnet probing events
Botnets dominate today's attack landscape. In this work we investigate ways to analyze collections of malicious probing traffic in order to understand the significance of lar...
Zhichun Li, Anup Goyal, Yan Chen, Vern Paxson
AAAI
1996
13 years 9 months ago
Closed Terminologies in Description Logics
We introduce a predictive concept recognition methodology for description logics based on a new closed terminology assumption. During knowledge engineering, our system adopts the ...
Robert A. Weida
ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
BMCBI
2008
83views more  BMCBI 2008»
13 years 8 months ago
Models of deletion for visualizing bacterial variation: an application to tuberculosis spoligotypes
Background: Molecular typing methods are commonly used to study genetic relationships among bacterial isolates. Many of these methods have become standardized and produce portable...
Josephine F. Reyes, Andrew R. Francis, Mark M. Tan...