Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization.
Lyn-Rouven SchirraFlorian SchmidHans A. KestlerLudwig LausserPublished in: ANNPR (2016)
Keyphrases
- multi class
- feature selection
- text categorization
- binary classifiers
- multiclass classification
- linear classifiers
- error correcting output codes
- feature selection algorithms
- support vector machine
- binary classification tasks
- feature set
- multinomial logistic regression
- multi class classifiers
- multi class classification
- support vector
- naive bayes
- multiclass problems
- feature space
- classification models
- object detection
- multi class classifier
- binary classification
- bayes classifier
- classification accuracy
- class probabilities
- instance selection
- machine learning
- text classification
- feature subset
- information gain
- base classifiers
- ensemble classifier
- high dimensionality
- binary classification problems
- data mining
- decision trees
- multi class classification problems
- multiple classes
- cost sensitive
- multiple instance learning
- k nearest neighbor
- boosting algorithms
- multi class svm
- multi label classification
- pairwise
- ensemble learning
- classification algorithm
- single class
- multi class problems
- model selection
- training data