The ambitious goal of transfer learning is to accelerate learning on a target task after training on a different, but related, source task. While many past transfer methods have f...
Due to the huge amount of integrated devices and sensors in everyday objects ubiquitous systems are in vicinity and will be deployed in large scales in the near future. We expect t...
The availability of techniques for comparing descriptions has many applications in Artificial Intelligence, ranging from description selection to flexible matching, from instance...
Stefano Ferilli, Teresa Maria Altomare Basile, Nic...
We study the online ad-auctions problem introduced by Mehta et. al. [15]. We design a (1 − 1/e)competitive (optimal) algorithm for the problem, which is based on a clean primal-...
Field-programmable circuits now have a capacity that allows them to accelerate floating-point computing, but are still missing core libraries for it. In particular, there is a ne...