Semantic Information G Theory and Logical Bayesian Inference for Machine Learning.
Chenguang LuPublished in: Inf. (2019)
Keyphrases
- semantic information
- bayesian inference
- machine learning
- probabilistic model
- statistical inference
- wordnet
- semantic knowledge
- prior information
- domain knowledge
- keywords
- semantic similarity
- semantic analysis
- bayesian model
- natural language processing
- semantic features
- semantic meaning
- metadata
- structural information
- variational inference
- high level
- low level features
- low level
- semantic relationships
- particle filter
- contextual information
- background knowledge
- machine learning methods
- hierarchical bayesian
- semantic relatedness
- artificial intelligence
- learning algorithm
- knowledge representation
- xml documents
- gibbs sampler
- linguistic information
- model selection
- graphical models
- information extraction
- database
- semantic tags
- expectation propagation
- text classification
- co occurrence
- text mining
- prior knowledge
- relational databases
- natural language
- feature selection
- data mining