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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 8 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 8 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 5 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
137
Voted
DAC
2004
ACM
15 years 7 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
208
Voted
FASE
2004
Springer
15 years 7 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