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» Statistical timing analysis based on a timing yield model
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STOC
1994
ACM
128views Algorithms» more  STOC 1994»
15 years 9 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
15 years 10 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
DAC
2006
ACM
16 years 6 months ago
Statistical logic cell delay analysis using a current-based model
A statistical model for the purpose of logic cell timing analysis in the presence of process variations is presented. A new current-based cell delay model is utilized, which can a...
Hanif Fatemi, Shahin Nazarian, Massoud Pedram
165
Voted
DAC
2004
ACM
15 years 9 months ago
Statistical gate delay model considering multiple input switching
There is an increased dominance of intra-die process variations, creating a need for an accurate and fast statistical timing analysis. Most of the recent proposed approaches assum...
Aseem Agarwal, Florentin Dartu, David Blaauw
FASE
2004
Springer
15 years 9 months ago
Specification and Analysis of Real-Time Systems Using Real-Time Maude
Real-Time Maude is a language and tool supporting the formal specification and analysis of real-time and hybrid systems. The specification formalism is based on rewriting logic, em...
Peter Csaba Ölveczky, José Meseguer