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» Introduction to Monte Carlo simulation
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ISQED
2009
IEEE
111views Hardware» more  ISQED 2009»
14 years 6 months ago
Efficient statistical analysis of read timing failures in SRAM circuits
A system-level statistical analysis methodology is described that captures the impact of inter- and intra-die process variations for read timing failures in SRAM circuit blocks. U...
Soner Yaldiz, Umut Arslan, Xin Li, Larry T. Pilegg...
DAC
2009
ACM
14 years 6 months ago
Yield-driven iterative robust circuit optimization algorithm
This paper proposes an equation-based multi-scenario iterative robust optimization methodology for analog/mixed-signal circuits. We show that due to local circuit performance mono...
Yan Li, Vladimir Stojanovic
KBSE
2009
IEEE
14 years 5 months ago
Understanding the Value of Software Engineering Technologies
SEESAW combines AI search tools, a Monte Carlo simulator, and some software process models. We show here that, when selecting technologies for a software project, SEESAW out-perfo...
Phillip Green II, Tim Menzies, Steve Williams, Ous...
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
14 years 5 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
ICASSP
2008
IEEE
14 years 5 months ago
The probability of near midair collisions using level-crossings
We consider probabilistic methods to compute the near midair collision risk using state estimate and covariance from a target tracking filter based on angle-only sensors such as ...
Per-Johan Nordlund, Fredrik Gustafsson