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» Approximate predictive state representations
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ISBI
2008
IEEE
14 years 9 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
NIPS
2001
13 years 10 months ago
KLD-Sampling: Adaptive Particle Filters
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
Dieter Fox
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 3 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
ICML
2007
IEEE
14 years 9 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan
SAS
1999
Springer
14 years 1 months ago
Polyhedral Analysis for Synchronous Languages
We define an operational semantics for the Signal language and design an analysis which allows to verify properties pertaining to the relation between values of the numeric and bo...
Frédéric Besson, Thomas P. Jensen, J...