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» Generalized Discriminant Analysis Using a Kernel Approach
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ASPLOS
2012
ACM
12 years 4 months ago
Comprehensive kernel instrumentation via dynamic binary translation
Dynamic binary translation (DBT) is a powerful technique that enables fine-grained monitoring and manipulation of an existing program binary. At the user level, it has been emplo...
Peter Feiner, Angela Demke Brown, Ashvin Goel
ECAI
2010
Springer
13 years 10 months ago
Kernel Methods for Revealed Preference Analysis
In classical revealed preference analysis we are given a sequence of linear prices (i.e., additive over goods) and an agent's demand at each of the prices. The problem is to d...
Sébastien Lahaie
BMCBI
2008
110views more  BMCBI 2008»
13 years 9 months ago
Methylation Linear Discriminant Analysis (MLDA) for identifying differentially methylated CpG islands
Background: Hypermethylation of promoter CpG islands is strongly correlated to transcriptional gene silencing and epigenetic maintenance of the silenced state. As well as its role...
Wei Dai, Jens M. Teodoridis, Janet Graham, Constan...
ICML
2006
IEEE
14 years 9 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
DSN
2003
IEEE
14 years 2 months ago
Characterization of Linux Kernel Behavior under Errors
This paper describes an experimental study of Linux kernel behavior in the presence of errors that impact the instruction stream of the kernel code. Extensive error injection exper...
Weining Gu, Zbigniew Kalbarczyk, Ravishankar K. Iy...