Semi-supervised learning for classification of protein sequence data.
Brian R. KingChittibabu GudaPublished in: Sci. Program. (2008)
Keyphrases
- semi supervised learning
- sequence data
- sequence classification
- supervised learning
- semi supervised classification
- improve the classification accuracy
- sequence analysis
- semi supervised
- co training
- labeled data
- unsupervised learning
- unlabeled data
- machine learning
- semi supervised learning algorithms
- labeled and unlabeled data
- transductive support vector machine
- nucleotide sequences
- label propagation
- classification accuracy
- class labels
- unlabeled samples
- pattern recognition
- text classification
- active learning
- training data
- multiple kernel learning
- training set
- decision trees
- genome sequences
- support vector machine
- protein interaction
- feature selection
- data sets
- labeled instances
- generative model
- support vector
- amino acids
- feature extraction
- feature space
- knowledge discovery