Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Abstract This paper presents a token-based accounting scheme for decentralized autonomous systems, such as peer-to-peer systems. The scheme uses tokens as proof of resource or serv...
Nicolas Liebau, Vasilios Darlagiannis, Andreas Mau...
We consider the possibility of having a (recursive) name server act as a slave to the root zone, rather than caching information after it is requested. Tests, described here, indi...
This paper discusses a class of 2-dimensional asynchronous cellular automata with conservation of mass, for the formation of patterns in groups. The previous study reported a metho...