Machine Learning with Automatic Feature Selection for Multi-class Protein Fold Classification.
Chuen-Der HuangSheng-Fu LiangChin-Teng LinRuei-Cheng WuPublished in: J. Inf. Sci. Eng. (2005)
Keyphrases
- multi class
- support vector machine
- protein classification
- machine learning
- multi class classifier
- multi class classification
- multiclass classification
- binary classifiers
- feature selection
- multiple classes
- multi class boosting
- cost sensitive
- protein sequences
- binary and multi class
- class probabilities
- protein fold recognition
- binary classification
- single class
- machine learning methods
- text classification
- multiclass problems
- multi class classifiers
- multi class svm
- multi class svms
- supervised learning
- multi class problems
- support vector
- cost sensitive learning
- error correcting output codes
- binary classification problems
- support vector machine svm
- multi label classification
- training set
- feature vectors
- decision trees
- feature extraction
- training samples
- image classification
- data mining
- sequence analysis
- string kernels
- classification algorithm
- classification accuracy
- machine learning algorithms
- feature space
- fold cross validation
- computational biology
- multi task
- learning algorithm
- kernel logistic regression
- base classifiers
- binary classification tasks
- kernel methods