On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem.
Eric SakkAyanna AlexanderPublished in: Appl. Comput. Intell. Soft Comput. (2013)
Keyphrases
- protein secondary structure prediction
- neural network
- pattern recognition
- learning vector quantization
- protein secondary structure
- machine learning
- classification accuracy
- feature extraction
- multi layer perceptron
- classification method
- feature space
- pattern classification
- feature vectors
- support vector machine svm
- kohonen self organizing map
- image classification
- artificial neural networks
- support vector
- feature selection
- genetic algorithm
- supervised learning
- text classification
- support vector machine
- class labels
- classification algorithm
- neural network model
- training set
- training data
- decision trees