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103
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CCS
2007
ACM
15 years 7 months ago
Improving vulnerability discovery models
Security researchers are applying software reliability models to vulnerability data, in an attempt to model the vulnerability discovery process. I show that most current work on t...
Andy Ozment
FASE
2006
Springer
15 years 4 months ago
Regular Inference for State Machines with Parameters
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Therese Berg, Bengt Jonsson, Harald Raffelt
139
Voted
AAAI
2008
15 years 3 months ago
RADAR: A Personal Assistant that Learns to Reduce Email Overload
Email client software is widely used for personal task management, a purpose for which it was not designed and is poorly suited. Past attempts to remedy the problem have focused o...
Michael Freed, Jaime G. Carbonell, Geoffrey J. Gor...
95
Voted
BMCBI
2006
134views more  BMCBI 2006»
15 years 27 days ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
VAMOS
2007
Springer
15 years 7 months ago
A Plea for Help with Variability, in Two Acts
A short theatrical exaggeration (but not too much) which describes practical problems with variability as experienced by real-world software developers. Real issue, there are no p...
Reed Little, Randy Blohm