Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures.
Sun KimJeongmi KimByoung-Tak ZhangPublished in: Comput. Biol. Medicine (2009)
Keyphrases
- support vector
- protein secondary structures
- learning machines
- prediction accuracy
- protein structure
- large margin classifiers
- human intelligence
- prediction model
- logistic regression
- secondary structure
- classification accuracy
- cross validation
- human behavior
- prediction algorithm
- risk assessment
- prediction error
- artificial intelligence
- support vector machine
- artificial neural networks
- computational methods
- generalization ability
- support vectors
- human subjects
- loss function
- risk measures
- decision making