Impact of Feature Choice on Machine Learning Classification of Fractional Anomalous Diffusion.
Hanna Loch-OlszewskaJanusz SzwabinskiPublished in: Entropy (2020)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- supervised machine learning
- feature selection
- decision trees
- support vector machine
- feature vectors
- machine learning algorithms
- text classification
- classification accuracy
- supervised learning
- feature set
- classification algorithm
- knowledge acquisition
- automatic classification
- support vector machine svm
- classification systems
- feature analysis
- learning algorithm
- computer science
- pattern classification
- computer vision
- machine learning approaches
- supervised classification
- image classification
- irrelevant features
- feature extraction
- benchmark datasets
- classification models
- anisotropic diffusion
- feature representation
- reinforcement learning
- active learning
- multiple classifier systems
- discriminative features
- training data
- training samples
- artificial neural networks
- class labels
- training set
- classification method
- data analysis
- decision rules
- svm classifier