On the Use of Lateralization for Lightweight and Accurate Methodology for EEG Real Time Emotion Estimation Using Gaussian-Process Classifier.
Mikel Val-CalvoJosé Ramón Álvarez SánchezAlejandro Díaz-MorcilloJosé Manuel Ferrández de VicenteEduardo Fernández-JoverPublished in: IWINAC (1) (2019)
Keyphrases
- lightweight
- gaussian process
- gaussian processes
- gaussian process regression
- model selection
- hyperparameters
- latent variables
- semi supervised
- bayesian framework
- approximate inference
- regression model
- support vector
- gaussian process classification
- low cost
- wireless sensor networks
- training data
- covariance function
- sparse approximations
- feature selection
- parameter estimation
- rfid tags
- gaussian process models
- bayesian inference
- facial expressions
- decision trees
- expectation propagation