December 8, 2017
Comments Off on Panda Public Auditing for Shared Data with Efficient User Revocation in the Cloud
Posted in: .Net, IEEE 2017
Panda Public Auditing for Shared Data with Efficient User Revocation in the Clouds Abstract With data storage and sharing services in the cloud, users can easily modify and share data as a group. To ensure shared data integrity can be verified publicly, users in the group need to compute signatures on all the blocks in shared data. Different blocks in shared data are generally signed by different users due to data modifications performed by different users. For security reasons, once […]
December 8, 2017
Comments Off on Active Learning for Ranking through Expected Loss Optimization
Posted in: .Net, IEEE 2017
Active Learning for Ranking through Expected Loss Optimization Abstract Learning to rank arises in many data mining applications, ranging from web search engine, online advertising to recommendation system. In learning to rank, the performance of a ranking model is strongly affected by the number of labeled examples in the training set; on the other hand, obtaining labeled examples for training data is very […]