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    AuthorDuggan, Jim (1)Howley, Tom (1)Madden, Michael G. (1)SubjectClassification (1)K-Tree (1)Kernel based learning (1)Machine learning (1)Petri nets (1)... View MoreDate Issued
    2006 (2)
    Type
    Conference Paper (2)

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    An evolutionary approach to automatic kernel construction 

    Madden, Michael G.; Howley, Tom (2006)
    Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ...
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    A Comparison of Petri Net and System Dynamics Approaches for Modelling Dynamic Feedback Systems 

    Duggan, Jim (2006)
    Petri nets are a valuable tool that can be used to simulate workflow systems. They are based on a state-transition approach, and in common with discrete event simulation, events can be scheduled to fire at different time ...
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