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...
Abstract Currently, the development of the visual design of Web Information Systems is mainly based on developers' experiences. Late considerations of graphical issues during ...
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Software systems need to adapt as requirements change, environment conditions vary, and bugs are discovered and fixed. In context of verification of these adaptive systems, the ...
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...