Empirical investigation of multi-source cross-validation in clinical machine learning.
Tuija LeinonenDavid WongAli WahabRamesh NadarajahMatti KaistiAntti AirolaPublished in: CoRR (2024)
Keyphrases
- network structure
- cross validation
- multi source
- machine learning
- model selection
- data fusion
- information fusion
- training set
- soft clustering
- data integration
- variable selection
- cross validated
- generalization error
- support vector
- learning algorithm
- multiple sources
- data sources
- hyperparameters
- error estimation
- pattern recognition
- information extraction
- text mining
- support vector machine
- real world
- active learning
- data mining
- data sets
- error estimates
- unseen data
- information criterion
- nearest neighbor classifiers
- supervised learning
- ls svm
- information integration
- community detection
- structured data
- intelligent systems
- data management
- recommender systems
- database