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WSC
2000
13 years 10 months ago
A framework for Response Surface Methodology for simulation optimization
We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology. The framework is especially intended for simulation models wh...
H. Gonda Neddermeijer, Gerrit J. van Oortmarssen, ...
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
14 years 3 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
ACL
2006
13 years 10 months ago
Discourse Generation Using Utility-Trained Coherence Models
We describe a generic framework for integrating various stochastic models of discourse coherence in a manner that takes advantage of their individual strengths. An integral part o...
Radu Soricut, Daniel Marcu
ICALP
2000
Springer
14 years 4 days ago
A Matrix-based Method for Analysing Stochastic Process Algebras
This paper demonstrates how three stochastic process algebras can be mapped on to a generally-distributed stochastic transition system. We demonstrate an aggregation technique on ...
Jeremy T. Bradley, N. J. Davies
ICRA
2008
IEEE
127views Robotics» more  ICRA 2008»
14 years 3 months ago
New framework for Simultaneous Localization and Mapping: Multi map SLAM
—The main contribution of this paper arises from the development of a new framework, which has its inspiration in the mechanics of human navigation, for solving the problem of Si...
Damith Chandana Herath, Sarath Kodagoda, Gamini Di...