Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...
Adam Kowalczyk, Alex J. Smola, Peter A. Flach, Tho...
Abstract. We present a uni ed approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Stan...
Classes play a dual role in mainstream statically-typed object-oriented languages, serving as both object generators and object types. In such languages, inheritance implies subtyp...
Current mathematical modeling methods for the spreading of infectious diseases are too simplified and do not scale well. We present the Simulator of Epidemic Evolution in Complex ...
Abstract. History independent data structures, presented by Micciancio, are data structures that possess a strong security property: even if an intruder manages to get a copy of th...