Abstract. We report research into concepts and technology for enabling endusers to configure Ambient Intelligent environments. In this paper we focus on the feasibility and accepta...
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Abstract. We investigate the properties of extremal point systems on the real line consisting of two interlaced sets of points solving a modified minimum energy problem. We show th...
Semantic similarity measures have been used successfully and extensively in the biomedical research with various applications. As the biomedical ontologies, which form the main gro...
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...