Recurrent Deep Neural Networks for Nucleosome Classification.
Domenico AmatoMattia Antonino Di GangiGiosuè Lo BoscoRiccardo RizzoPublished in: CIBB (2018)
Keyphrases
- genetic algorithm
- neural network
- pattern recognition
- fuzzy logic
- feature extraction
- artificial neural networks
- recurrent neural networks
- support vector
- feed forward
- learning vector quantization
- classification process
- benchmark datasets
- decision rules
- classification algorithm
- classification systems
- multi layer perceptron
- classification accuracy
- decision trees
- classification rules
- pattern classification
- supervised classification
- classification scheme
- support vector machine svm
- model selection
- text classification
- image classification
- supervised learning
- support vector machine
- feature selection
- machine learning
- training samples
- training process
- recurrent networks
- classification models
- cost sensitive
- incremental learning
- machine learning methods
- feature set
- feature space
- preprocessing
- data mining