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Browsing KEDRI - the Knowledge Engineering and Discovery Research Institute by Title 
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  • KEDRI - the Knowledge Engineering and Discovery Research Institute
  • Browsing KEDRI - the Knowledge Engineering and Discovery Research Institute by Title
  •   Open Research
  • AUT Research Institutes, Centres and Networks
  • KEDRI - the Knowledge Engineering and Discovery Research Institute
  • Browsing KEDRI - the Knowledge Engineering and Discovery Research Institute by Title
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Browsing KEDRI - the Knowledge Engineering and Discovery Research Institute by Title

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Now showing items 52-56 of 56

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    • SPAN: Spike Pattern Association Neuron for learning spatio-temporal sequences 

      Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N (World Scientific Publishing Company, 2012)
      Spiking Neural Networks (SNN) were shown to be suitable tools for the processing of spatio-temporal information. However, due to their inherent complexity, the formulation of efficient supervised learning algorithms for ...
    • Transductive modeling with GA parameter optimization 

      Mohan, N.; Kasabov, N (IEEE, 2005)
      Introduction - While inductive modeling is used to develop a model (function) from data of the whole problem space and then to recall it on new data, transductive modeling is concerned with the creation of single model for ...
    • Transductive Support Vector Machines and Applications in Bioinformatics for Promoter Recognition 

      Kasabov, N; Pang, S. (IEEE, 2004)
      This paper introduces a novel transductive support vector machine (TSVM) model and compares it with the traditional inductive SVM on a key problem in bioinformatics - promoter recognition. While inductive reasoning is ...
    • TWNFC - Transductive neural-fuzzy classifier with weighted data normalization and its application in medicine 

      Ma, T.; Song, Q.; Marshall, M.; Kasabov, N (IEEE, 2005)
      This paper introduces a novel fuzzy model - transductive neural-fuzzy classifier with weighted data normalization (TWNFC), While inductive approaches are concerned with the development of a model to approximate data in the ...
    • WDN-RBF: weighted data normalization for radial basic function type neural networks 

      Song, Q.; Kasabov, N (IEEE, 2004)
      This paper introduces an approach of Weighted Data Normalization (WDN) for Radial Basis Function (RBF) type of neural networks. It presents also applications for medical decision support systems. The WDN method optimizes ...

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