ICANN ’94 pp 689-692 | Cite as

Estimation of Conditional Densities: A Comparison of Neural Network Approaches

  • R. Neuneier
  • F. Hergert
  • W. Finnoff
  • D. Ormoneit

Abstract

In recent years, neural networks have been successfully used to attack a wide variety of difficult nonlinear regression and classification tasks and their effectiveness, particularly when the dimension of the problem measured in the number of variables involved, has been widely documented (Finnoff 1993).

Keywords

Mellon 

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References

  1. Duda R. O. and Hart P. E. (1973), Pattern Classification and Scene AnalysisMATHGoogle Scholar
  2. Finnoff W., Hergert F. and Zimmermann H. G. (1993), Improving Model Selection by Nonconvergent Methods, Neural Networks Vol. 6, pages 771–783CrossRefGoogle Scholar
  3. MacKay D. J. C. (1991), Bayesean Modelling and Neural Networks, PhDThesis at California Institute of Technology, PasadenaGoogle Scholar
  4. Nowlan S. J. (1991), Soft Competitive Adaptation: Neural Network Learning Algorithms based on Fitting Statistical Mixtures, PhD-Thesis at School of Computer Science, Carnegie Mellon University, PittsburghGoogle Scholar
  5. Ormoneit D. (1993),Estimation of Probability Densities using Neural Networks, Master-Thesis: Dept. of Computer Science, TU MunichGoogle Scholar
  6. Parzen E. (1962), On Estimation of a Probability Density Function and Mode, Annals of Mathematical Statistics 33Google Scholar
  7. Redner R. A. and Walker H. F. (1984), Mixture Densities, Maximum Likelihood and the EM Algorithm, SIAM Review, 26Google Scholar
  8. Specht D. F. (1990), Probabilistic Neural Networks, Neural Networks 3Google Scholar
  9. Tresp V., Hollatz J. and Ahmad S.(1993) Network Structuring and Training Using Rule-Based Knowledge Advances in NIPS 5Google Scholar
  10. White H. (1992), Parametrical Statistical Estimation with Artificial Neural Networks, Techreport University of California, San DiegoGoogle Scholar

Copyright information

© Springer-Verlag London Limited 1994

Authors and Affiliations

  • R. Neuneier
    • 1
  • F. Hergert
    • 1
  • W. Finnoff
    • 2
  • D. Ormoneit
    • 3
  1. 1.Corporate Research and DevelopmentSiemens AGMuenchenGermany
  2. 2.Prediction CompanySanta FeUSA
  3. 3.Dept. of Computer ScienceTUMMunichGermany

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