Machine Learning for Multi-class Protein Fold Classification Based on Neural Networks with Feature Gating.
Chuen-Der HuangI-Fang ChungNikhil R. PalChin-Teng LinPublished in: ICANN (2003)
Keyphrases
- multi class
- support vector machine
- machine learning
- protein classification
- multi class classification
- neural network
- multiclass classification
- feature selection
- multi class classifier
- protein sequences
- binary and multi class
- multiple classes
- cost sensitive
- multi class boosting
- binary classifiers
- feature vectors
- protein fold recognition
- text classification
- multiclass problems
- multi class classifiers
- multi class svm
- class probabilities
- multi class svms
- machine learning methods
- machine learning algorithms
- error correcting output codes
- classification accuracy
- single class
- support vector
- decision trees
- string kernels
- binary classification
- object detection
- kernel methods
- svm classifier
- binary classification tasks
- supervised learning
- feature set
- model selection
- support vector machine svm
- binary classification problems
- training data
- feature subset
- feature space
- cross validation
- classification algorithm
- learning tasks
- multi class problems
- pairwise
- data mining
- cost sensitive learning
- feature ranking
- computational biology
- training set
- feature extraction
- multi task learning
- kernel logistic regression
- base classifiers
- hyperplane
- image classification