Entropy-Based Strategies for Rapid Pre-Processing and Classification of Time Series Data from Single-Molecule Force Experiments.
Denis HorváthGabriel ZoldákPublished in: Entropy (2020)
Keyphrases
- preprocessing
- feature extraction
- classification accuracy
- automatic classification
- feature vectors
- support vector
- pattern recognition
- machine learning
- classification scheme
- preprocessing step
- classification models
- classification method
- post processing
- anomaly detection
- image classification
- hidden markov models
- data sets
- training data
- preprocessing steps
- supervised learning
- control strategies
- classification process
- classification systems
- object classification
- learning algorithm
- feature selection
- decision trees
- classification rules
- machine learning methods
- classification algorithm
- class labels
- benchmark datasets
- machine learning algorithms
- support vector machine svm
- training samples
- feature space
- high dimensional
- feature set