— The problem of finding an optimal path in an uncertain graph arises in numerous applications, including network routing, path-planning for vehicles, and the control of finite...
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
This work presents an approach to the automatic interpretation of the visual field to enable ophthalmology patients to be classified as glaucomatous and normal. The approach is bas...
A lot of attention has been given to network quality of service and efforts to make layers on top of the network also QoS-aware increase noticeably. This paper explores QoS-aware s...
Ing Widya, R. E. Stap, L. J. Teunissen, B. Frank H...