Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor NetworksMemory Efficient Prediction With Truncated Observations

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks: Memory Efficient... [The main reason why the nonparametric prediction using Gaussian processes has not been popular for resource-constrained multi-agent systems is the fact that the optimal prediction must use all cumulatively measured values in a non-trivial way [74, 75].] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor NetworksMemory Efficient Prediction With Truncated Observations

Download PDF
25 pages

Loading next page...
 
/lp/springer-journals/bayesian-prediction-and-adaptive-sampling-algorithms-for-mobile-sensor-cVeNFPTizz
Publisher
Springer International Publishing
Copyright
© The Author(s) 2016
ISBN
978-3-319-21920-2
Pages
27 –52
DOI
10.1007/978-3-319-21921-9_4
Publisher site
See Chapter on Publisher Site

Abstract

[The main reason why the nonparametric prediction using Gaussian processes has not been popular for resource-constrained multi-agent systems is the fact that the optimal prediction must use all cumulatively measured values in a non-trivial way [74, 75].]

Published: Oct 28, 2015

Keywords: Gaussian Process; Target Point; Communication Range; Gradient Descent Algorithm; Gaussian Process Regression

There are no references for this article.