Detecting bacterial vaginosis using machine learning.
Yolanda S. BakerRajeev AgrawalJames A. FosterDaniel BeckGerry V. DozierPublished in: ACM Southeast Regional Conference (2014)
Keyphrases
- machine learning
- computational biology
- machine learning algorithms
- pattern recognition
- machine learning methods
- learning algorithm
- feature selection
- statistical methods
- machine learning and data mining
- natural language processing
- computer vision
- knowledge acquisition
- databases
- model selection
- semi supervised learning
- learning problems
- inductive learning
- knowledge engineering
- machine learning approaches
- explanation based learning
- text mining
- information extraction
- active learning
- data structure
- training data
- decision trees
- artificial intelligence
- text classification
- computational intelligence
- supervised learning
- genetic algorithm
- data mining
- real world
- real time
- machine learning systems