Importance sampling of delta-AUC: A basis for active learning for improved keyword search.
Kerri BarnesMatthew SnoverMan-Hung SiuHerbert GishPublished in: ICASSP (2016)
Keyphrases
- keyword search
- importance sampling
- active learning
- monte carlo
- relational databases
- keywords
- structured data
- search engine
- xml keyword search
- particle filter
- kalman filter
- xml documents
- keyword queries
- markov chain
- rare events
- training set
- keyword search over relational databases
- web search engines
- particle filtering
- xml data
- keyword search in relational databases
- approximate inference
- posterior distribution
- query language
- learning algorithm
- machine learning
- database
- databases
- random sampling
- message passing
- markov chain monte carlo
- naive bayes
- generative model
- semi supervised
- pairwise
- information retrieval