Resource saving taxonomy classification with k-mer distributions and machine learning.
Wolfgang FuhlSusanne ZabelKay NieseltPublished in: CoRR (2023)
Keyphrases
- machine learning
- decision trees
- pattern recognition
- machine learning methods
- machine learning algorithms
- feature selection
- supervised machine learning
- text classification
- support vector machine
- supervised classification
- classification method
- image classification
- information extraction
- model selection
- feature extraction
- supervised learning
- classification scheme
- training set
- machine learning approaches
- support vector machine svm
- support vector
- computer vision
- learning algorithm
- classification algorithm
- classification models
- training samples
- statistical learning
- probability distribution
- natural language processing
- knowledge discovery
- classification accuracy
- active learning
- feature space
- training data
- learning problems
- roc analysis
- pattern classification
- automatic classification
- multiple classes
- data sets
- classification rules
- class labels
- unsupervised learning
- knowledge acquisition
- semi supervised
- multi class
- knowledge representation
- feature vectors
- artificial intelligence
- data mining
- neural network