Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a ...
Azzurra Ragone, Umberto Straccia, Fernando Bobillo...
Web-based application development is a difficult task, since these applications include various features, like graphical interfaces, navigational structures, business models, and ...
In this paper we present DeSiNe, a modular flow-level network simulator. DeSiNe is aimed at performance analysis and benchmarking of Quality of Service routing algorithms and traf...
Tom Kleiberg, Bingjie Fu, Fernando A. Kuipers, Pie...