Scalable classification of organisms into a taxonomy using hierarchical supervised learners.
Gihad N. SohsahAli Reza IbrahimzadaHuzeyfe AyazAli CakmakPublished in: J. Bioinform. Comput. Biol. (2020)
Keyphrases
- supervised learning
- unsupervised learning
- classification accuracy
- machine learning
- feature selection
- classification method
- hierarchical structure
- support vector
- hierarchical classification
- pattern classification
- classification systems
- supervised classification
- pattern recognition
- e learning
- machine learning methods
- learning algorithm
- learning systems
- training samples
- text classification
- image classification
- training set
- learning environment
- decision trees
- classification scheme
- learning processes
- restricted boltzmann machine
- classification process
- decision rules
- class labels
- learning strategies
- data sets
- feature vectors
- feature space
- classification algorithm
- benchmark datasets
- cost sensitive
- learning activities
- learning process
- preprocessing