Adaptive LSH based on the particle swarm method with the attractor selection model for fast approximation of Gaussian process regression.
Yuya OkadomeKenji UraiYutaka NakamuraTetsuya YomoHiroshi IshiguroPublished in: Artif. Life Robotics (2014)
Keyphrases
- gaussian process regression
- optimization method
- particle swarm
- covariance function
- probabilistic model
- optimization strategy
- prior knowledge
- closed form
- cost function
- gaussian processes
- optimization algorithm
- objective function
- similarity measure
- prior information
- em algorithm
- energy function
- bayesian framework
- pairwise
- neural network
- differential evolution
- particle swarm optimization algorithm
- maximum likelihood
- simulated annealing
- probability distribution