Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
We explore the application of a wiki-based technology and style of interaction to enabling the incremental translation of a collaborative application into a number of different la...
M. Cameron Jones, Dinesh Rathi, Michael B. Twidale
Abstract. We consider the class of applications that manage time series (TS) and propose a data model and a query language that let these applications manipulate TS data sets at a ...
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Modern challenges led to a design of a wide range of programming models for reactive, parallel and concurrent programming, but these are often t to encode in general purpose langua...