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ICRA
2010
IEEE
136views Robotics» more  ICRA 2010»
13 years 4 months ago
Efficient planning under uncertainty for a target-tracking micro-aerial vehicle
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The agent has partial information of each target's pose, and must reason about its u...
Ruijie He, Abraham Bachrach, Nicholas Roy
GECCO
2004
Springer
14 years 2 days ago
How Are We Doing? Predicting Evolutionary Algorithm Performance
Abstract. Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distrib...
Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Juls...
JMLR
2010
105views more  JMLR 2010»
13 years 1 months ago
When causality matters for prediction
Recent evaluations have indicated that in practice, general methods for prediction which do not account for changes in the conditional distribution of a target variable given feat...
Robert E. Tillman, Peter Spirtes
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 1 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
CCE
2008
13 years 6 months ago
Predictive modeling of ionic permselectivity of porous media
Transport and separation processes in ionic systems located in the porous medium are investigated. The software for the modeling of the combined electroosmotic, migration, diffusi...
Libor Seda, Juraj Kosek