Keynote 3: Random forests for biomedical data classification.
Laurent HeuttePublished in: ICSIPA (2017)
Keyphrases
- random forests
- biomedical data
- decision trees
- tree ensembles
- machine learning algorithms
- regression forests
- random forest
- ensemble methods
- machine learning
- data mining methods
- feature selection
- knowledge driven
- machine learning methods
- logistic regression
- benchmark datasets
- classification algorithm
- decision tree ensembles
- classification accuracy
- classification rules
- neural network
- support vector machine svm
- model selection
- text classification
- image classification
- support vector machine
- support vector
- databases
- class labels
- data sets
- svm classifier
- cost sensitive
- feature space
- learning algorithm