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» A general algorithm for data dependence analysis
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135
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ICML
2007
IEEE
16 years 3 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»
15 years 9 months 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
117
Voted
EUROSYS
2007
ACM
15 years 12 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, ...
142
Voted
CIKM
2006
Springer
15 years 6 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
153
Voted
FLAIRS
2004
15 years 4 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