On the duel between the top 10 percent classifiers versus the bottom 90 percent classifiers.
Kung-Hua ChangDouglas Stott Parker Jr.Published in: ISSPA (2012)
Keyphrases
- correctly classified
- training data
- support vector
- decision trees
- naive bayes
- feature selection
- test set
- optimum path forest
- multiple classifiers
- linear classifiers
- supervised classification
- recognition rate
- learning algorithm
- svm classifier
- k nearest neighbour
- feature set
- classification rate
- training set
- majority vote
- hidden markov models
- decision boundary
- error rate
- roc curve
- feature subset
- machine learning methods
- logistic regression
- class labels
- training examples
- machine learning algorithms