Building an Ensemble of Naive Bayes Classifiers using Committee of Bootstraps and Monte Carlo splits for a various percentage of random objects from training set.
Piotr ArtiemjewPawel IdzikowskiPublished in: CS&P (2019)
Keyphrases
- monte carlo
- training set
- naive bayes classifier
- naive bayes
- training data
- classification error
- markov chain
- test set
- support vector machine
- monte carlo tree search
- supervised learning
- text classification
- particle filter
- classification accuracy
- nearest neighbor
- data sets
- training examples
- classification algorithm
- base classifiers
- variance reduction
- training samples
- unlabeled data
- d objects
- learning algorithm
- machine learning
- labeled data
- active learning
- decision trees