Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.
Yuexiang LiDong WeiJiawei ChenShilei CaoHongyu ZhouYanchun ZhuJianrong WuLan LanWenbo SunTianyi QianKai MaHaibo XuYefeng ZhengPublished in: IEEE J. Biomed. Health Informatics (2020)
Keyphrases
- learning to rank
- supervised learning
- information retrieval and machine learning
- ranking functions
- information retrieval
- training set
- training samples
- classification accuracy
- loss function
- decision trees
- feature extraction
- support vector
- feature space
- ranking svm
- support vector machine
- text classification
- document retrieval
- language model
- retrieval systems
- evaluation measures
- feature vectors
- direct optimization
- feature selection
- query dependent
- balancing exploration and exploitation
- collaborative filtering
- text categorization
- information retrieval systems
- web search
- data sets
- active learning
- image retrieval
- multimedia
- machine learning
- data mining