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» A general algorithm for data dependence analysis
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ICML
2007
IEEE
16 years 6 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
SYNASC
2008
IEEE
266views Algorithms» more  SYNASC 2008»
16 years 9 days ago
On Computing Solutions of Linear Diophantine Equations with One Non-linear Parameter
We present an algorithm for solving Diophantine equations which are linear in the variables, but non-linear in one parameter. This enables us to compute data dependences in more ge...
Armin Größlinger, Stefan Schuster
EUROSYS
2007
ACM
16 years 3 months ago
Sealing OS processes to improve dependability and safety
In most modern operating systems, a process is a -protected abstraction for isolating code and data. This protection, however, is selective. Many common mechanisms—dynamic code ...
Galen C. Hunt, Mark Aiken, Manuel Fähndrich, ...
CIKM
2006
Springer
15 years 9 months ago
Improving novelty detection for general topics using sentence level information patterns
The detection of new information in a document stream is an important component of many potential applications. In this work, a new novelty detection approach based on the identif...
Xiaoyan Li, W. Bruce Croft
FLAIRS
2004
15 years 7 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen