Machine Learning and Feature Selection for the Classification of Mental Disorders from Methylation Data.
Christopher L. BartlettStephen J. GlattIsabelle BichindaritzPublished in: AIME (2019)
Keyphrases
- machine learning
- feature selection
- text classification
- classification accuracy
- data analysis
- data sets
- training data
- database
- data collection
- pattern recognition
- data points
- irrelevant features
- knowledge discovery
- machine learning methods
- supervised learning
- data mining techniques
- supervised classification
- bayesian methods
- feature subset
- feature selection algorithms
- data reduction
- text categorization
- discriminative features
- feature construction
- supervised machine learning
- high dimensionality
- statistical methods
- classification algorithm
- unsupervised learning
- feature set
- support vector machine
- data sources
- training set
- feature space