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IJRR
2011
218views more  IJRR 2011»
13 years 2 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
ICML
2005
IEEE
14 years 8 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
CDC
2009
IEEE
118views Control Systems» more  CDC 2009»
13 years 12 months ago
The Kullback-Leibler rate metric for comparing dynamical systems
This paper is concerned with information theoretic "metrics" for comparing two dynamical systems. Following the recent work of Tryphon Georgiou [1], we outline a predicti...
Sun Yu, Prashant G. Mehta
SIGIR
2009
ACM
14 years 2 months ago
Portfolio theory of information retrieval
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...
Jun Wang, Jianhan Zhu
RTAS
2005
IEEE
14 years 1 months ago
Robust Control/Scheduling Co-Design: Application to Robot Control
Control systems running on a computer are subject to timing disturbances coming from implementation constraints. Fortunately closed-loop systems behave robustly w.r.t. modelling e...
Daniel Simon, David Robert, Olivier Sename