In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
Object-oriented and object-relational DBMS support setvalued attributes, which are a natural and concise way to model complex information. However, there has been limited research...
This paper revisits the problem of source-channel coding for error-resilient video streaming, using redundant encoding. We propose a new method to jointly optimize the macroblock ...
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...