Comparison of machine learning and traditional classifiers in glaucoma diagnosis.
Kwokleung ChanTe-Won LeePamela A. SampleMichael H. GoldbaumRobert N. WeinrebTerrence J. SejnowskiPublished in: IEEE Trans. Biomed. Eng. (2002)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- feature selection
- supervised classification
- naive bayes
- pattern recognition
- information extraction
- support vector
- learning algorithm
- training data
- confusion matrices
- data mining
- fault detection
- fault diagnosis
- computer vision
- knowledge acquisition
- text classification
- text mining
- learning problems
- multiple classifiers
- inductive logic programming
- optic nerve
- model based diagnosis
- medical diagnosis
- learning classifier systems
- classifier combination
- multiple classifier systems
- roc analysis
- classification method
- classification algorithm
- test set
- natural language processing
- training set
- inductive learning
- learning tasks
- svm classifier
- feature ranking
- supervised learning
- feature extraction
- artificial intelligence
- data sets