An FPGA Implementation of a Gaussian Process Based Predictor for Sequential Time Series Data.
Hirokazu SuzukiSeiji TsutsumiYukinori SatoPublished in: CANDAR (Workshops) (2020)
Keyphrases
- gaussian process
- fpga implementation
- gaussian processes
- hardware implementation
- regression model
- bayesian framework
- approximate inference
- model selection
- gaussian process classification
- gaussian process regression
- semi supervised
- sparse approximations
- latent variables
- hyperparameters
- field programmable gate array
- neural network
- expectation propagation
- covariance function
- gaussian process models
- pattern recognition
- efficient implementation
- cross validation
- image processing algorithms
- high dimensional
- machine learning
- bayesian inference
- topic models
- low cost