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ISBI
2004
IEEE
16 years 11 days ago
Nanoparticle-Enhanced Proton Computed Tomography: A Monte Carlo Simulation Study
Proton computed tomography (pCT) has the potential to improve the accuracy of proton treatment planning, which is currently based on x-ray computed tomography (xCT). However, at t...
Reinhard Schulte, Vladimir Bashkirov, David Willia...
DATE
2008
IEEE
112views Hardware» more  DATE 2008»
15 years 6 months ago
Adaptive Simulation for Single-Electron Devices
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...
Nicholas Allec, Robert G. Knobel, Li Shang
JAIR
2011
187views more  JAIR 2011»
14 years 6 months ago
A Monte-Carlo AIXI Approximation
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
TCIAIG
2010
14 years 6 months ago
Evaluating Root Parallelization in Go
Abstract--Parallelizing Monte-Carlo tree search has been considered to be a way to improve the strength of computer Go programs. In this paper, we analyze the performance of two ro...
Yusuke Soejima, Akihiro Kishimoto, Osamu Watanabe
NLP
2000
15 years 3 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman