A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.
Imon BanerjeeHailey H. ChoiTerry S. DesserDaniel L. RubinPublished in: CoRR (2018)
Keyphrases
- machine learning
- text categorization
- bayesian networks
- automatic text categorization
- probabilistic model
- artificial intelligence
- pattern recognition
- text classification
- information theoretic
- computer science
- machine learning methods
- uncertain data
- feature selection
- image categorization
- generative model
- model selection
- database
- explanation based learning
- machine learning and data mining
- machine learning algorithms
- data driven
- natural language processing
- neural network
- information retrieval
- learning algorithm
- computer vision
- information extraction
- learning systems
- data analysis
- reinforcement learning
- inductive logic programming
- context sensitive
- case study
- supervised learning
- web scale
- probabilistic logic
- unsupervised learning
- document categorization
- text mining