Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems...
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
−Buffered multistage interconnection networks offer one of the most scalable and cost-effective approaches to building high capacity routers. Unfortunately, the performance of su...
Despite the large number of papers on network topology modeling and inference, there still exists ambiguity about the real nature of the Internet AS and router level topology. Whi...
Hamed Haddadi, Steve Uhlig, Andrew W. Moore, Richa...