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» Monte Carlo simulation approach to stochastic programming
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ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
16 years 12 days ago
Negative information and line observations for Monte Carlo localization
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
Todd Hester, Peter Stone
JORS
2010
189views more  JORS 2010»
15 years 23 days ago
Monte Carlo scenario generation for retail loan portfolios
Monte Carlo simulation is a common method for studying the volatility of market traded instruments. It is less employed in retail lending, because of the inherent nonlinearities in...
J. L. Breeden, D. Ingram
PLDI
2010
ACM
15 years 11 months ago
Bamboo: a data-centric, object-oriented approach to many-core software
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Jin Zhou, Brian Demsky
CSC
2009
15 years 7 months ago
Fast Monte Carlo Algorithms on Re-Wired Small-World Spin Models
Small-world networks have become an important model for understanding many complex phenomena in science and in sociological contexts. One tool for exploring the critical and phase...
Kenneth A. Hawick
ICRA
2005
IEEE
115views Robotics» more  ICRA 2005»
15 years 11 months ago
Language-based Feedback Control Using Monte Carlo Sensing
Abstract— Landmark-based graphs are a useful and parsimonious tool for representing large scale environments. Relating landmarks by means of feedback-control algorithms encoded i...
Sean B. Andersson, Dimitrios Hristu-Varsakelis