Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking.
Wing W. Y. NgXiancheng ZhouXing TianXizhao WangDaniel S. YeungPublished in: Neurocomputing (2018)
Keyphrases
- semi supervised
- ensemble methods
- ensemble learning
- data structure
- base classifiers
- query processing
- query dependent
- user queries
- randomized trees
- query specific
- gradient boosting
- result set
- document ranking
- machine learning
- scoring functions
- majority voting
- ensemble classification
- ensemble classifier
- keyword queries
- ranking list
- keywords
- decision trees
- learning to rank
- keyword search
- learning algorithm
- ranking algorithm
- semi supervised learning
- query evaluation
- ranking svm
- weak classifiers
- query terms
- pairwise
- web search
- query expansion
- prediction accuracy
- feature selection
- supervised learning
- weak learners
- labeled data
- random forest
- ranked list
- web search engines
- range queries
- unlabeled data
- similarity search
- test collection
- nearest neighbor
- retrieval systems
- relevance feedback
- multi class
- active learning
- machine learning methods