Single-electron devices have drawn much attention in the last two decades. They have been widely used for device research and also show promise as a potential alternative to compl...
Monte Carlo Tree Search is a recent algorithm that achieves more and more successes in various domains. We propose an improvement of the Monte Carlo part of the algorithm by modify...
—The Multicanonical Monte Carlo (MMC) technique is a new form of adaptive importance sampling (IS). Thanks to its blind adaptation algorithm, it does not require an in-depth syst...
Alberto Bononi, Leslie A. Rusch, Amirhossein Ghazi...
Monte Carlo based SSTA serves as the golden standard against alternative SSTA algorithms, but it is seldom used in practice due to its high computation time. In this paper, we acc...
Jason Cong, Karthik Gururaj, Wei Jiang, Bin Liu, K...
Statistical static timing analysis (SSTA) has emerged as an essential tool for nanoscale designs. Monte Carlo methods are universally employed to validate the accuracy of the appr...
We demonstrate the use of uncertain prediction in a system for pedestrian navigation via audio with a combination of Global Positioning System data, a music player, inertial sensi...
Steven Strachan, John Williamson, Roderick Murray-...
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...
Abstract. Multi-figure m-reps allow us to represent and analyze a complex anatomical object by its parts, by relations among its parts, and by the object itself as a whole entity. ...
Qiong Han, Stephen M. Pizer, Derek Merck, Sarang C...