Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
We introduce a new data structuring paradigm in which operations can be performed on a data structure not only in the present but also in the past. In this new paradigm, called ret...
In models of military operations it is important to include the Command and Control (C2) process in order to achieve a realistic simulation of a military force's behaviour an...
—A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new “normalized in...
Ming Li, Xin Chen, Xin Li, Bin Ma, Paul M. B. Vit&...