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CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 2 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
ICRA
2000
IEEE
125views Robotics» more  ICRA 2000»
14 years 2 months ago
Force-Based Motion Editing for Locomotion Tasks
This paper describes a fast technique for modifying motion sequences for complex articulated mechanisms in a way that preserves physical properties of the motion. This technique i...
Nancy S. Pollard, Fareed Behmaram-Mosavat
CBMS
2003
IEEE
14 years 1 months ago
Colored Visualization of Shape Differences between Bones
This article addresses visualization of deformation or shape differences between bones while conventional visualization techniques are often about a single bone such as its 3D rec...
Ik Soo Lim, Sofiane Sarni, Daniel Thalmann
ML
2008
ACM
13 years 10 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
13 years 5 months ago
Advances in moving horizon estimation for nonlinear systems
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...