Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
Complex network models such as Kauffman's NK model have been shown to have interesting phase transitional properties as the connectivity is varied. Conventional network and g...
The transition of search engine usersā intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
This paper deals with veriļ¬cation methods based on equivalence relations between labeled transition systems. More precisely, we are concerned by two practical needs: how to eļ¬...