Abstract. k-Anonymisation is a technique for masking microdata in order to prevent individual identification. Besides preserving privacy, data anonymised by such a method must also...
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
Abstract. Streaming media workloads have a number of desirable properties that make them good candidates for caching via proxy systems. The content does not get modified, and acce...
This paper describes an empirical study on typing errors made by children during a text copy exercise. The literature on text input errors is first examined, focussing on studies ...
Akiyo Kano, Janet C. Read, Alan J. Dix, I. Scott M...
Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...