Identification of Features for Machine Learning Analysis for Automatic Arrhythmogenic Event Classification.
Vadim GlinerYael YanivPublished in: CinC (2017)
Keyphrases
- machine learning
- features extraction
- feature extraction
- classification accuracy
- feature set
- feature space
- feature vectors
- feature analysis
- machine learning approaches
- benchmark datasets
- statistical classification
- classification process
- classification method
- machine learning algorithms
- pattern recognition
- supervised learning
- classification models
- machine learning methods
- learning algorithm
- unsupervised learning
- automatic classification
- support vector machine
- svm classifier
- text classification
- statistical analysis
- extracting features
- feature selection
- class labels
- data analysis
- image classification
- pattern classification
- machine learning models
- feature construction
- discriminative features
- decision trees
- high dimensionality
- supervised classification
- training set
- model selection
- feature selection algorithms
- image features
- feature ranking
- active learning
- support vector machine svm
- text categorization
- data mining