Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Abstract: This paper presents a multiagent architecture and algorithms for collaborative, self-organizing learning in distributed, heterogeneous and dynamic business systems, where...
Abstract. Integration of GIS and hydrologic models has been a common approach for monitoring our ever-changing hydrologic system. One important issue in adapting such an approach i...
Chen-Chieh Feng, Thomas Bittner, Douglas M. Flewel...
Abstract. We present a set of gradient based orthogonal and nonorthogonal matrix joint diagonalization algorithms. Our approach is to use the geometry of matrix Lie groups to devel...
Abstract. In this paper we present an efficient real-time implementation of a broadband algorithm for blind source separation (BSS) of convolutive mixtures. A recently introduced m...
Robert Aichner, Herbert Buchner, Fei Yan, Walter K...