Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network, and Gaussian Process.
Han-Shin JoChanshin ParkEunhyoung LeeHaing Kun ChoiJaedon ParkPublished in: Sensors (2020)
Keyphrases
- gaussian process
- gaussian process models
- principal component analysis
- artificial neural networks
- gaussian processes
- regression model
- model selection
- gaussian process regression
- approximate inference
- semi supervised
- bayesian framework
- hyperparameters
- neural network
- latent variables
- machine learning
- dimensionality reduction
- expectation propagation
- covariance function
- gaussian process classification
- image processing
- sparse approximations
- genetic algorithm ga
- generative model
- feature extraction