Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
This paper addresses the general single-machine earliness-tardiness problem with distinct release dates, due dates, and unit costs. The aim of this research is to obtain an exact n...
—Database-centric applications (DCAs) are common in enterprise computing, and they use nontrivial databases. Testing of DCAs is increasingly outsourced to test centers in order t...
Mark Grechanik, Christoph Csallner, Chen Fu, Qing ...
Abstract. We describe an approach to designing and implementing a distributed system as a family of related finite state machines, generated from a single abstract model. Various a...
Graham N. C. Kirby, Alan Dearle, Stuart J. Norcros...
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...