Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens.
Jason C. HyunErol S. KavvasJonathan M. MonkBernhard O. PalssonPublished in: PLoS Comput. Biol. (2020)
Keyphrases
- random subspace
- machine learning
- classifier fusion
- random forest
- ensemble methods
- random subspaces
- subspace methods
- random sampling
- comparative analysis
- decision trees
- machine learning methods
- ensemble learning
- nearest neighbor classifiers
- feature subspace
- majority voting
- active learning
- multiple classifier systems
- feature selection
- support vector machine
- random forests
- learning tasks
- base classifiers
- pattern recognition
- learning algorithm
- machine learning algorithms
- feature set
- face recognition
- linear discriminant analysis
- classifier ensemble
- fusion scheme
- information extraction
- generalization ability
- base learners
- benchmark datasets
- prediction accuracy
- unlabeled data
- recognition rate
- computer vision