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ACSAC
2004
IEEE
14 years 10 days ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...
HIS
2008
13 years 10 months ago
Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
ICSM
2003
IEEE
14 years 1 months ago
DART: A Framework for Regression Testing "Nightly/daily Builds" of GUI Applications
“Nightly/daily building and smoke testing” have become widespread since they often reveal bugs early in the software development process. During these builds, software is comp...
Atif M. Memon, Ishan Banerjee, Nada Hashmi, Adithy...
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
14 years 2 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
PAMI
2008
215views more  PAMI 2008»
13 years 8 months ago
Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study
This paper introduces a new benchmark study to evaluate the performance of landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-co...
Brent C. Munsell, Pahal Dalal, Song Wang