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» Deviation Analysis: A New Use of Model Checking
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SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 7 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
CCE
2011
15 years 1 months ago
Development and validation of a dynamic model for regeneration of passivating baths using membrane contactors
Selective liquid membranes have been traditionally employed for liquid/liquid and gas/liquid mass transfer in a wide range of applications. In particular, the Emulsion Pertraction...
Eugenio Bringas, Rosa Mediavilla, Ana María...
SRDS
2008
IEEE
16 years 25 days ago
Using Tractable and Realistic Churn Models to Analyze Quiescence Behavior of Distributed Protocols
Large-scale distributed systems are subject to churn, i.e., continuous arrival, departure and failure of processes. Analysis of protocols under churn requires one to use churn mod...
Steven Y. Ko, Imranul Hoque, Indranil Gupta
BIRTHDAY
2009
Springer
15 years 10 months ago
Modular Verification of Strongly Invasive Aspects
An extended specification for aspects, and a new verification method based on model checking are used to establish the correctness of strongly-invasive aspects, independently of a...
Emilia Katz, Shmuel Katz
ML
2008
ACM
15 years 6 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen