Training Machine Learning Classifiers on Differentiating Major Depressive Disorder and Parkinson's Disease Using Cognitive Performance.
Aya MousaAshar Y. NatshehRashid JayousiMohammad M. HerzallahPublished in: ICIT (2023)
Keyphrases
- machine learning
- machine learning algorithms
- training set
- machine learning methods
- training samples
- test set
- training examples
- decision trees
- supervised learning
- machine learning approaches
- supervised classification
- feature selection
- training data
- learning algorithm
- learning machines
- active learning
- learning tasks
- support vector
- support vector machine
- training process
- classifier training
- linear svm
- human learning
- discriminative classifiers
- training and testing data
- pattern recognition
- data mining
- training set size
- learning problems
- information extraction
- artificial intelligence
- multi layer perceptron
- skill acquisition
- classification performances
- neural network
- training stage
- multiple classifier systems
- supervised training
- computational intelligence
- semi supervised learning
- data sets
- trained classifiers
- boosted classifiers
- labeled images
- cognitive architecture
- learning classifier systems
- statistical methods
- classification algorithm
- model selection
- text mining
- semi supervised