Machine Learning from Mistakes: Self-Improving Attention Classifier Using Error-Related Potentials.
Lisa-Marie VortmannTimo UrbanFelix PutzePublished in: SMC (2023)
Keyphrases
- machine learning
- learning algorithm
- decision trees
- feature selection
- support vector machine
- classification process
- training data
- pattern recognition
- learning classifier systems
- knowledge acquisition
- support vector
- text classification
- supervised classification
- estimation error
- classification method
- natural language processing
- supervised learning
- higher order
- active learning
- lower error rates
- minimum error
- classifier systems
- classifier ensemble
- false negative
- artificial intelligence
- feature space
- linear classifiers
- information extraction
- learning systems
- machine learning algorithms
- training examples
- model selection
- data sets