In the last years dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Mal...
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
There are many problems with the simplification of elementary functions, particularly over the complex plane. Systems tend to make “howlers” or not to simplify enough. In thi...
Robert M. Corless, James H. Davenport, David J. Je...
Orion Systems International Limited has recognised the need in the healthcare industry for an application to provide robust clinical decision support. One possible approach is to d...
Access-control policies have grown from simple matrices to non-trivial specifications written in sophisticated languages. The increasing complexity of these policies demands corres...
Daniel J. Dougherty, Kathi Fisler, Shriram Krishna...