Machine+Learning+Neural+and+Statistical+Classification_Part15

Machine+Learning+Neural+and+Statistical+Classification_Part15

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273 Hand, D. J. (1981). Discrimination and Classification . John Wiley, Chichester. Hand, D. J. and Batchelor, B. G. (1978). An edited nearest neighbour rule. Information Sciences , 14:171–180. Hanson, S. J. (1990). Meiosis networks. In Tourzetsky, D. S., editor, Advances in Neural Information Processing Systems 2 , pages 533–541. Morgan Kaufmann. Hart, P.E.(1968). Thecondensednearestneighbour rule. IEEETransactions on Information Theory , IT-14:515–516. H¨aussler, W. M. (1979). Empirische ergebnisse zur diskriminationsverfahren bei kred- itscoringsystemen. Zeitschrift fur Operations Research. Serie B , 23:191–210. H¨aussler, W. M. (1981a). Methoden der punktebewertung fur kreditscoringsysteme. Zeitschrift fur Operations Research , 25:79–94. H¨aussler, W. M. (1981b). Punktebewertung bei Kreditscoringsystemen . Knapp, Frankfurt. Hebb, D. O. (1949). The Organisation of Behaviour . John Wiley and Sons. Hecht-Nielsen, R. (1989). Neurocomputing . Addison-Wesley, Reading, Mass. Herkovsits, E. and Cooper, G. F. (1990). Kutat´o: An entropy-driven system for the con- struction of probabilistic expert systems from databases. Report ksl-90-22, Stanford University. Hermans, J., Habbema, J. D. F., Kasanmoentalib, T. K. D., and Raatgeven, J. W. (1982). Manual for the ALLOC80 discriminant analysis program . Leiden, The Netherlands. Hertz, J., Krogh, A., and Palmer, R. (1991). Introduction to the Theory of Neural Compu- tation . Addison-Wesley. Higonnet, R. A. and Grea, R. A. (1958). Logical Design of Electrical Circuits .McGraw-Hill Book Co. Ltd. Hill, M. (1982). Correspondence analysis. In Encyclopaedia of Statistical Sciences , vol- ume 2, pages 204–210. Wiley, New York. Hinton, G. E., Rumelhart, D. E., and Williams, R. J. (1985). Learning internal repre- sentations by back-propagating errors. In Rumelhart, D. E., McClelland, J. L., and the PDP Research Group, editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition , volume 1, chapter 8. MIT Press, Cambridge, MA. Hinton, G. E., Rumelhart, D. E., and Williams, R. J. (1986). Learning representatinos by back-propagating errors. Nature , 323:533–536. Hoehfeld, M. and Fahlman, S. E. (1991). Learning with limited precision using the cascade- correlation algorithm. Technical Report CMU-CS-91-130, Carnegie Mellon University. Hofmann, H. J. (1990). Die anwendung des cart-verfahrenszur statistischen bonitatsanalyse von konsumentenkrediten. Zeitschrift fur Betriebswirtschaft , 60:941–962. Højsgaard, S., Skjøth, F., and Thiesson, B. User’s guide to Bifrost . Aalborg University, Aalborg, Denmark. Holland, J.H.(1975a). Adaptation in Natural and Artificial Systems .University of Michigan Press, Ann Arbor, Michigan. Holland, J. H. (1975b).
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This note was uploaded on 08/10/2011 for the course IT 331 taught by Professor Nevermind during the Spring '11 term at King Abdulaziz University.

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Machine+Learning+Neural+and+Statistical+Classification_Part15

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