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» Random Sampling of States in Dynamic Programming
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IJRR
2002
106views more  IJRR 2002»
13 years 7 months ago
Randomized Kinodynamic Motion Planning with Moving Obstacles
This paper presents a novel randomized motion planner for robots that must achieve a specified goal under kinematic and/or dynamic motion constraints while avoiding collision with...
David Hsu, Robert Kindel, Jean-Claude Latombe, Ste...
ICIC
2005
Springer
14 years 1 months ago
Sequential Stratified Sampling Belief Propagation for Multiple Targets Tracking
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
BMCBI
2007
119views more  BMCBI 2007»
13 years 7 months ago
A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments
Background: Gas chromatography-mass spectrometry (GC-MS) is a robust platform for the profiling of certain classes of small molecules in biological samples. When multiple samples ...
Mark D. Robinson, David P. De Souza, Woon Wai Keen...
ICA3PP
2005
Springer
14 years 1 months ago
GridMD: Program Architecture for Distributed Molecular Simulation
In the present work we describe architectural concepts of the distributed molecular simulation package GridMD. The main purpose of this work is to underline the construction patter...
Ilya Valuev
CDC
2008
IEEE
206views Control Systems» more  CDC 2008»
14 years 2 months ago
Approximate dynamic programming using support vector regression
— This paper presents a new approximate policy iteration algorithm based on support vector regression (SVR). It provides an overview of commonly used cost approximation architect...
Brett Bethke, Jonathan P. How, Asuman E. Ozdaglar