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» On Using Monte Carlo Methods for Scheduling
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ICGA
2008
208views Optimization» more  ICGA 2008»
13 years 7 months ago
Cross-Entropy for Monte-Carlo Tree Search
Recently, Monte-Carlo Tree Search (MCTS) has become a popular approach for intelligent play in games. Amongst others, it is successfully used in most state-of-the-art Go programs....
Guillaume Chaslot, Mark H. M. Winands, Istvan Szit...
CIG
2005
IEEE
14 years 1 months ago
Combining Tactical Search and Monte-Carlo in the Game of Go
We present a way to integrate search and Monte-Carlo methods in the game of Go. Our program uses search to find the status of tactical goals, builds groups, selects interesting go...
Tristan Cazenave, Bernard Helmstetter
ENGL
2008
186views more  ENGL 2008»
13 years 7 months ago
High Performance Monte-Carlo Based Option Pricing on FPGAs
High performance computing is becoming increasingly important in the field of financial computing, as the complexity of financial models continues to increase. Many of these financ...
Xiang Tian, Khaled Benkrid, Xiaochen Gu
BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
Background: An adaptive coarse-grained (kinetic) Monte Carlo (ACGMC) simulation framework is applied to reaction and diffusion dynamics in inhomogeneous domains. The presented mod...
Stuart Collins, Michail Stamatakis, Dionisios G. V...
CVPR
2009
IEEE
15 years 8 days ago
Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling
We propose a novel tracking algorithm for the target of which geometric appearance changes drastically over time. To track it, we present a local patch-based appearance model and p...
Junseok Kwon (Seoul National University), Kyoung M...