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» Predicting Faults from Cached History
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ISI
2006
Springer
13 years 4 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
CCGRID
2010
IEEE
13 years 6 months ago
Region-Based Prefetch Techniques for Software Distributed Shared Memory Systems
Although shared memory programming models show good programmability compared to message passing programming models, their implementation by page-based software distributed shared m...
Jie Cai, Peter E. Strazdins, Alistair P. Rendell
ISCA
2002
IEEE
104views Hardware» more  ISCA 2002»
13 years 4 months ago
Speculative Dynamic Vectorization
Traditional vector architectures have shown to be very effective for regular codes where the compiler can detect data-level parallelism. However, this SIMD parallelism is also pre...
Alex Pajuelo, Antonio González, Mateo Valer...
SIGSOFT
2007
ACM
14 years 5 months ago
Which warnings should I fix first?
Automatic bug-finding tools have a high false positive rate: most warnings do not indicate real bugs. Usually bug-finding tools assign important warnings high priority. However, t...
Sunghun Kim, Michael D. Ernst
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 5 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny