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» Introduction to Monte Carlo simulation
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ISQED
2009
IEEE
111views Hardware» more  ISQED 2009»
15 years 10 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...
94
Voted
DAC
2009
ACM
15 years 10 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
15 years 10 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»
15 years 9 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
99
Voted
ICASSP
2008
IEEE
15 years 9 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