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IJCNN
2007
IEEE
14 years 4 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
OTM
2007
Springer
14 years 4 months ago
Data-Driven Modeling and Coordination of Large Process Structures
Abstract. In the engineering domain, the development of complex products (e.g., cars) necessitates the coordination of thousands of (sub-)processes. One of the biggest challenges f...
Dominic Müller, Manfred Reichert, Joachim Her...
SC
2005
ACM
14 years 3 months ago
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Fan-Yin Tzeng, Kwan-Liu Ma
MMAS
2004
Springer
14 years 3 months ago
Quantitative Organizational Models for Large-Scale Agent Systems
Abstract. As the scale and scope of multi-agent systems grow, it becomes increasingly important to design and manage the manner in which the participants interact. The potential fo...
Bryan Horling, Victor R. Lesser
ICDT
2001
ACM
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14 years 2 months ago
Mining for Empty Rectangles in Large Data Sets
Abstract. Many data mining approaches focus on the discovery of similar (and frequent) data values in large data sets. We present an alternative, but complementary approach in whic...
Jeff Edmonds, Jarek Gryz, Dongming Liang, Ren&eacu...