Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
— This paper presents a sensor analysis based fault detection approach (which we call SAFDetection) that is used to monitor tightly-coupled multi-robot team tasks. Our approach a...
Address re-mapping techniques in so-called active memory systems have been shown to dramatically increase the performance of applications with poor cache and/or communication beha...
Dhiraj D. Kalamkar, Mainak Chaudhuri, Mark Heinric...
We define a new class of languages defined by multi-stack automata that forms a robust subclass of context-sensitive languages, with decidable emptiness and closure under boolea...
Salvatore La Torre, Parthasarathy Madhusudan, Genn...
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...