This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
Virtual Reality (VR) is gaining in popularity and its added value for learning is being recognized. However, its richness in representation and manipulation possibilities may also ...
Olga De Troyer, Frederic Kleinermann, Bram Pellens...
A problem facing many textbook authors (including one of the authors of this paper) is the inevitable delay between new advances in the subject area and their incorporation in a n...
Timothy Miles-Board, Christopher Bailey, Wendy Hal...
Background: Apollo, a genome annotation viewer and editor, has become a widely used genome annotation and visualization tool for distributed genome annotation projects. When using...
Kathrin Klee, Rebecca Ernst, Manuel Spannagl, Klau...
The paper proposes an adaptive web system--that is, a website that is capable of changing its original design to fit user requirements. For the purpose of improving shortcomings o...