Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction.
Wei ZhongGulsah AltunHae-Jin HuRobert W. HarrisonPhang C. TaiYi PanPublished in: CIBCB (2004)
Keyphrases
- binary classification
- protein secondary structure prediction
- support vector
- neural network
- binary classifiers
- cost sensitive
- multiclass classification
- multi class classification
- support vector machine
- multi class
- pattern recognition
- binary classification problems
- learning problems
- machine learning
- learning vector quantization
- neyman pearson
- class imbalance
- classification accuracy
- support vector machine svm
- prediction accuracy
- protein secondary structure
- decision trees
- svm classification
- supervised learning
- artificial neural networks
- feature extraction
- image classification
- feature vectors
- knn
- feature selection
- training set
- nearest neighbor
- generalization error
- data sets
- multi label
- classification algorithm
- svm classifier