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: ACII Workshops (2019)
Keyphrases
- nonparametric bayesian
- dirichlet process
- wavelet transform
- machine learning
- gaussian processes
- multi task learning
- mixture model
- posterior distribution
- bayesian model
- bayesian framework
- variational inference
- sampling algorithm
- brain signals
- learning tasks
- markov chain monte carlo
- multiresolution
- learning problems
- latent topics
- computer vision
- multiscale
- variational methods
- data analysis
- e learning
- latent variables
- gaussian process
- active learning
- bayesian networks
- generative model
- bayesian inference
- posterior probability
- text classification
- transfer learning
- inductive learning
- machine learning algorithms
- model selection
- unsupervised learning