The recently proposed learned index has higher query performance and space efficiency than the conventional B+-tree.However,the original learned index has the problems of insertion failure and unbounded query complexity,meaning that it supports neither in
Entity matching is a fundamental problem of data integration.It groups records according to underlying real-world entities.There is a growing trend of entity matching via deep learning techniques.We design mixed hierarchical deep neural networks(MHN)for e
API(application programming interface)documentation is critical for developers to learn APIs.However,it is unclear whether API documentation indeed improves the API learnability for developers.In this paper,we focus on two types of API documentation,i.e.,