Hardware Acceleration on Gaussian Naive Bayes Machine Learning Algorithm.
Georgios TzanosChristoforos KachrisDimitrios SoudrisPublished in: MOCAST (2019)
Keyphrases
- naive bayes
- augmented naive bayes
- learning algorithm
- training data
- classification algorithm
- decision trees
- classification accuracy
- text classification
- naive bayes classifier
- logistic regression
- conditional independence assumption
- decision tree learners
- tree augmented naive bayes
- uci datasets
- text categorization
- bayesian networks
- probability estimation
- machine learning algorithms
- cost sensitive
- feature selection
- uci data sets
- averaged one dependence estimators
- naive bayesian classifier
- bayesian classifier
- test instances
- machine learning
- data sets
- maximum likelihood
- active learning
- naive bayes classification
- base classifiers
- reinforcement learning
- training examples
- training samples
- bayesian network classifiers
- information gain
- text mining
- attribute dependencies
- locally weighted
- supervised learning
- text classifiers
- support vector machine
- bayesian classifiers
- real valued
- information retrieval
- generalization error