Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion.
Laura Isabel Galindez OlascoagaWannes MeertHerman BruyninckxMarian VerhelstPublished in: AI-IoT@ECAI (2016)
Keyphrases
- naive bayes
- sensor fusion
- decision trees
- text classification
- classification accuracy
- logistic regression
- training data
- naive bayes classifier
- text categorization
- uci data sets
- classification algorithm
- text classifiers
- averaged one dependence estimators
- probabilistic classifiers
- naive bayesian classifier
- bayesian classifier
- mobile robot
- variable selection
- test instances
- feature vectors
- feature selection
- machine learning
- real time
- image features
- learning algorithm
- information retrieval
- attribute dependencies