Field Estimation using Robotic Swarms through Bayesian Regression and Mean-Field Feedback.
Tongjia ZhengHai LinPublished in: CoRR (2021)
Keyphrases
- posterior distribution
- bayesian inference
- bayesian estimation
- parameter estimation
- sparse bayesian learning
- regression model
- estimation problems
- gaussian processes
- nonparametric regression
- real time
- semi parametric
- bayesian learning
- model selection
- maximum likelihood
- markov random field
- regression algorithm
- cooperative
- mobile robot
- probability distribution
- markov chain monte carlo
- support vector machine
- robotic systems
- linear regression
- robust regression
- swarm intelligence
- ordinary least squares
- model averaging
- relevance vector machine
- markov random field prior
- regression problems
- bio inspired
- posterior probability
- em algorithm
- particle swarm optimization
- higher order
- evolutionary algorithm
- bayesian networks