This article presents a rational model developed under the distributed cognition framework that explains how social tags influence knowledge acquisition and adaptation in explorat...
In order to overcome the limitations of deductive logic-based approaches to deriving operational knowledge from ontologies, especially when data come from distributed sources, indu...
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...
In the current information age, the dominant method for information search is by providing few keywords to a search engine. Keyword search is currently one of the most important o...
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...