Information-Theoretic Classification of SNOMED Improves the Organization of Context-Sensitive Excerpts from Cochrane Reviews.
Lee T. SamTara BorlawskyYing TaoJianrong LiCarol FriedmanBarry SmithYves A. LussierPublished in: AMIA (2007)
Keyphrases
- information theoretic
- context sensitive
- information theory
- mutual information
- theoretic framework
- entropy measure
- language model
- information theoretic measures
- multiple task learning
- jensen shannon divergence
- information bottleneck
- decision trees
- pattern recognition
- feature vectors
- kullback leibler divergence
- machine learning
- text classification
- support vector machine
- image classification
- graph grammars
- supervised learning
- feature space
- natural language
- feature selection
- information retrieval
- maximum likelihood
- unsupervised learning
- learning algorithm
- data mining