Resources including various assets of supply chains, face random demand over time and can be shared by others. We consider an operational setting where a resource is shared by two...
We present a pragmatic approach using formal methods to increase the quality of distributed component based systems: Based on UML class diagrams annotated with OCL constraints, co...
Median averaging is a powerful averaging concept on sets of vector data in finite dimensions. A generalization of the median for shapes in the plane is introduced. The underlying ...
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...