Abstract
Linear decision tree classifiers and LVQ-networks divide the input space into convex regions that can be represented by membership functions. These functions are then used to determine the weights of the first layer of a feedforward network. Subject classification: AMS(MOS) 68T05, 92B20
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References
J.C. Bioch, M. van Dijk and W. Verbeke, Neural Networks: New Tools for Data Analysis?, in: M. Taylor and P. Lisboa (eds.) Proceedings of Neural Networks Applications and Tools, IEEE Computer Society Press, pp28–38 (1994).
J.C. Bioch, R. Carsouw and R. Potharst, On the Use of Simple Classifiers for the Initialisation of One-Hidden-Lay er Neural Nets, Technical Report eur-cs-95-08, Dept. of Computer Science, Erasmus University Rotterdam (1995).
R. Carsouw, Learning to Classify: Classification by neural nets based on decision trees, Masterthesis (in Dutch), Dept. of Computer Science, Erasmus University Rotterdam, February (1995).
I. Ivanova, M. Kubat and G. Pfurtscheller, The System TBNN for Learning of ‘Difficult’ Concepts, in: J.C. Bioch and S.H. Nienhuys-Cheng (eds), Proceedings of Benelearn94, Tech. Rep. eur-09-94, Dept. of Computer Science, Erasmus University Rotterdam, pp230–241 (1994).
U.M. Fayad and K.B. Irani, On the Handling of Continuous-Valued Attributes in Decision Tree Generation, Machine Learning, Vol. 8 (1992), pp88–102.
J. Hertz, A. Krogh, R.G. Palmer, Introduction to the theory of neural computation, Addison-Wesley (1991).
T. Kohonen, Self-Organization and Associative Memory, Berlin: Springer Verlag, 3rd edition (1989).
M.L. Minsky, S.A. Papert, Perceptrons, 2nd edition, MIT Press (1988).
Y. Park, A Mapping From Linear Tree Classifiers to Neural Net Classifiers, Proceedings of IEEE ICNN, Vol. I (1994), pp94–100, Orlando, Florida,.
Y. Park and J. Sklansky, Automated Design of Linear Tree Classifiers, Pattern Recognition, Vol. 23, No. 12 (1990), pp1393–1412.
A.K. Sethi, Entropy Nets: From Decision Trees to Neural Networks, Proceedings of the IEEE, Vol. 78, No. 10 (1990), pp1606–1613.
J.R. Quinlan, C4.5 Programs for Machine Learning, Morgan Kaufmann (1993).
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Bioch, J.C., Carsouw, R., Potharst, R. (1997). On the Use of Simple Classifiers for the Initialisation of One-Hidden-Layer Neural Nets. In: Ellacott, S.W., Mason, J.C., Anderson, I.J. (eds) Mathematics of Neural Networks. Operations Research/Computer Science Interfaces Series, vol 8. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6099-9_16
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