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» Variational Analysis of Pseudospectra
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ML
2007
ACM
144views Machine Learning» more  ML 2007»
13 years 10 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
DAC
2009
ACM
14 years 11 months ago
SRAM parametric failure analysis
With aggressive technology scaling, SRAM design has been seriously challenged by the difficulties in analyzing rare failure events. In this paper we propose to create statistical ...
Jian Wang, Soner Yaldiz, Xin Li, Lawrence T. Pileg...
ICCAD
2007
IEEE
125views Hardware» more  ICCAD 2007»
14 years 7 months ago
A methodology for timing model characterization for statistical static timing analysis
While the increasing need for addressing process variability in sub-90nm VLSI technologies has sparkled a large body of statistical timing and optimization research, the realizati...
Zhuo Feng, Peng Li
DSD
2006
IEEE
90views Hardware» more  DSD 2006»
14 years 4 months ago
Global Analysis of Resource Arbitration for MPSoC
Modern day applications require use of multi-processor systems for reasons of scalability and power efficiency. As more and more applications are integrated on a single device, m...
Akash Kumar, Bart Mesman, Henk Corporaal, Jef L. v...
ECML
1997
Springer
14 years 2 months ago
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
Ricardo Vilalta, Gunnar Blix, Larry A. Rendell