Un nouvel algorithme de forêts aléatoires d'arbres obliques particulièrement adapté à la classification de données en grandes dimensions.
Thanh-Nghi DoStéphane LallichNguyen-Khang PhamPhilippe LencaPublished in: EGC (2009)
Keyphrases
- classification accuracy
- automatic classification
- classification method
- feature extraction
- feature space
- artificial neural networks
- classification systems
- supervised classification
- object classification
- text classification
- support vector machine
- classification process
- real time
- unsupervised learning
- feature selection
- pattern recognition
- decision trees
- face recognition
- pattern classification
- neural network
- machine learning
- classification rate
- document classification
- classification models
- cost sensitive
- benchmark data sets
- supervised learning
- machine learning methods
- support vector
- decision rules
- class labels
- benchmark datasets
- scheduling problem
- image classification
- feature set