Automated Dataset Generation for Training Peer-to-Peer Machine Learning Classifiers.
Roozbeh ZareiAlireza MonemiMuhammad Nadzir MarsonoPublished in: J. Netw. Syst. Manag. (2015)
Keyphrases
- machine learning
- peer to peer
- training set
- text classification tasks
- text classification
- training samples
- test set
- training dataset
- machine learning algorithms
- training examples
- decision trees
- object detectors
- training data
- supervised learning
- machine learning methods
- supervised classification
- machine learning approaches
- feature set
- learning algorithm
- feature selection
- trained classifiers
- text categorization
- pattern recognition
- linear svm
- text classifiers
- support vector
- classifier training
- discriminative classifiers
- support vector machine
- data mining
- natural language processing
- training set size
- classification performances
- resource discovery
- active learning
- logistic regression
- overlay network
- learning machines
- peer to peer networks
- labeled training data
- training and testing data
- supervised training
- linear classifiers
- computer vision
- digital libraries
- object detection
- text mining
- class labels
- learning tasks
- learning problems
- ensemble learning
- training process
- test data
- data sets
- naive bayes
- fold cross validation
- classification accuracy
- feature space
- multi layer perceptron
- training and test sets