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    ESANN
    1998
    170views Neural Networks» more  ESANN 1998»
    Recurrent SOM with local linear models in time series prediction
    14 years 11 months ago
    Recurrent SOM with local linear models in time series prediction
    Download  www.dice.ucl.ac.be
    Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
    Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
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    ICONIP
    1998
    117views Information Technology» more  ICONIP 1998»
    ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
    14 years 11 months ago
    ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
    Download  www.aut.ac.nz
    The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
    Nikola K. Kasabov
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    AAAI
    1997
    134views Intelligent Agents» more  AAAI 1997»
    Worst-Case Absolute Loss Bounds for Linear Learning Algorithms
    14 years 11 months ago
    Worst-Case Absolute Loss Bounds for Linear Learning Algorithms
    Download  reference.kfupm.edu.sa
    The absolute loss is the absolute difference between the desired and predicted outcome. I demonstrateworst-case upper bounds on the absolute loss for the perceptron algorithm and ...
    Tom Bylander
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    MVA
    2000
    158views Computer Vision» more  MVA 2000»
    Automated TV-set Raster Tuning System
    14 years 11 months ago
    Automated TV-set Raster Tuning System
    Download  b2.cvl.iis.u-tokyo.ac.jp
    System for automated control and tuning of TVset raster has been developed. The artificial intelligence elements such as multilayer perceptron, RBF and Cohonen networks effectivel...
    Rauf Kh. Sadykhov, Alexey N. Klimovich, Oleg G. Ma...
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    AAAI
    1996
    139views Intelligent Agents» more  AAAI 1996»
    Generation of Attributes for Learning Algorithms
    14 years 11 months ago
    Generation of Attributes for Learning Algorithms
    Download  www.aaai.org
    Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
    Yuh-Jyh Hu, Dennis F. Kibler
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