Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors.
Daniel Lopez MartinezKe PengArielle J. LeeDavid BorsookRosalind W. PicardPublished in: CoRR (2019)
Keyphrases
- nonparametric bayesian
- dirichlet process
- wavelet transform
- machine learning
- gaussian processes
- multi task learning
- posterior distribution
- bayesian model
- mixture model
- brain signals
- learning tasks
- sampling algorithm
- bayesian framework
- learning algorithm
- variational inference
- variational methods
- multiresolution
- markov chain monte carlo
- latent topics
- kernel methods
- probability distribution
- prior distribution
- gaussian process
- reinforcement learning
- model selection
- multi task
- bayesian inference
- active learning
- learning problems
- computer vision
- e learning
- image processing
- brain computer interface
- multiscale
- data analysis
- feature space
- signal processing