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DCOSS
2009
Springer
15 years 4 months ago
Finding Symbolic Bug Patterns in Sensor Networks
Abstract. This paper presents a failure diagnosis algorithm for summarizing and generalizing patterns that lead to instances of anomalous behavior in sensor networks. Often multipl...
Mohammad Maifi Hasan Khan, Tarek F. Abdelzaher, Ji...
ICANN
2005
Springer
15 years 3 months ago
CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...
Henrik Jacobsson, Tom Ziemke
SCN
2008
Springer
136views Communications» more  SCN 2008»
14 years 9 months ago
An efficient data structure for network anomaly detection
Abstract-- Despite the rapid advance in networking technologies, detection of network anomalies at high-speed switches/routers is still far from maturity. To push the frontier, two...
Jieyan Fan, Dapeng Wu, Kejie Lu, Antonio Nucci
ACL
2012
13 years 6 days ago
Learning High-Level Planning from Text
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...
BMCBI
2006
144views more  BMCBI 2006»
14 years 10 months ago
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken ...