Boosting Learning Algorithm for Pattern Recognition and Beyond.
Osamu KomoriShinto EguchiPublished in: IEICE Trans. Inf. Syst. (2011)
Keyphrases
- learning algorithm
- pattern recognition
- machine learning
- machine learning algorithms
- training data
- boosting framework
- boosting algorithms
- feature extraction
- neural network
- image analysis
- active learning
- signal processing
- learning tasks
- image processing
- training examples
- loss function
- learning scheme
- ensemble learning
- reinforcement learning
- computer vision
- pattern classification
- pattern recognition problems
- learning machines
- partially labeled data
- multiple classifier systems
- learning process
- training samples
- learning rate
- decision stumps
- batch mode
- base learners
- ensemble methods
- classification accuracy
- back propagation
- support vector machine svm
- generalization error
- artificial neural networks
- support vector
- generalization ability
- weak learners
- semi supervised
- rough sets