Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
: In this article we present a new approach to software process modelling for a large banking organisation. In the past years, the main software development methods and tools of th...
Automotive manufacturing is a complex task involving several steps of machining and assembly. Typically, larger components of an automobile such as the body, engine etc. are assem...