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 […]
December 8, 2017
Comments Off on A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing
Posted in: .Net, IEEE 2017
A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing Abstract As an effective and efficient way to provide computing resources and services to customers on demand, cloud computing has become more and more popular. From cloud service providers’ perspective, profit is one of the most important considerations, and it is mainly determined by the configuration of a cloud service platform under given market demand. However, a single […]