Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
– In this paper, we proposed an improved algorithm for the multi-robot complete coverage problem. Real world applications such as lawn mowing, chemical spill clean-up, and humani...
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
Although the ability to model and infer Attacker Intent, Objectives and Strategies (AIOS) may dramatically advance the literature of risk assessment, harm prediction, and predicti...
Virtual reality has been proposed as a training regime for a large number of tasks from surgery rehearsal (cf. [Robb et al. 1996], to combat simulation (cf. [U. S. Congress, Offi...