Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different for...
In this paper, we propose SPRITE (Selective PRogressive Index Tuning by Examples), a scalable system for text retrieval in a structured P2P network. Under SPRITE, each peer is res...
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
Erik Schaffernicht, Volker Stephan, Klaus Debes, H...
: This paper proposes the notion of problem templates (PTs), a concept based on theories of memory and expertise. These mental constructs allow experts to quickly recognise problem...