Understanding learning from EEG data: Combining machine learning and feature engineering based on hidden Markov models and mixed models.
Gabriel Rodrigues PalmaConor ThornberrySean ComminsRafael de Andrade MoralPublished in: CoRR (2023)
Keyphrases
- hidden markov models
- feature engineering
- machine learning
- markov models
- hidden state
- learning algorithm
- learning process
- supervised learning
- text classification
- hidden states
- sequence classification
- pattern recognition
- prior knowledge
- active learning
- dependency parsing
- continuous hidden markov models
- knowledge acquisition
- knowledge discovery
- reinforcement learning
- hidden variables
- speech recognition
- sequential data
- gesture recognition
- labeled data
- speech processing
- natural language processing
- discriminative training
- baum welch
- natural language