Skip to main content
Have a personal or library account? Click to login
Nonlinear Feature Extraction in a Logarithmic Space with Evolutionary Algorithms Cover

Nonlinear Feature Extraction in a Logarithmic Space with Evolutionary Algorithms

Annals of West University of Timisoara - Mathematics and Computer Science
Volume 51 (2013): Issue 1 (June 2013)
By: ,   and    
Open Access
|Aug 2013
References

References

  1. [1] C. M. Fonseca, E. M. Mendes, P. J. Fleming, and S. A. Billings, Non-linear Model Term Selection with Genetic Algorithms, 1993.
    Search in Google Scholar
  2. [2] J. H. Friedman and J. W. Tukey, A projection pursuit algorithm for exploratory data analysis, IEEE Trans. Comput., C23(9), (1974), 881890.
    Open DOISearch in Google Scholar
  3. [3] J.H. Friedman, Exploratory Projection Pursuit, American Statistical Association, (1987), 249266.
    Open DOISearch in Google Scholar
  4. [4] J. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, 1975.
    Search in Google Scholar
  5. [5] M. C. Jones and R. Sibson, What is projection pursuit? (with discussion), J. R.Statist. Soc. A, 150, (1987), 136.
    Open DOISearch in Google Scholar
  6. [6] J. B. Kruskal, Toward a practical method which helps uncover the structure of a set of multivariate observations by finding the linear transformation which optimizes a new ’index of condensation’, Statistical Computation Ed. by R.C. Milton and J.A. Nelder, Academic Press, New York, 1969.
    Open DOISearch in Google Scholar
  7. [7] J. Mao and A.K. Jain, Discriminant analysis neural networks, 1993, 300-305.
    Search in Google Scholar
  8. [8] S. Mika, G. Ratsch, J. Weston, B. Scholkoph, and K.R. Mullers, Fisher discriminant analysis with kernels, Neural Networks for Signal Processing, (1999.)
    Search in Google Scholar
  9. [9] K. Price, R.M. Storn, and J.A. Lampinen, Differential Evolution: A Practical Approach to Global Optimization, Springer, 2005.
    Search in Google Scholar
  10. [10] V. Vemuri and W. Cedeo, Multi-Niche Crowding for Multimodal Search, Practical Handbook of Genetic Algorithms: New Frontiers, Ed. Lance Chambers, 1995.
    Search in Google Scholar
  11. [11] D Zaharie, Influence of crossover on the behavior of Differential Evolution Algo- rithms, Applied Soft Computing, 9(3), (2009), 1126-1138.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.2478/awutm-2013-0002 | Journal eISSN: 1841-3307 | Journal ISSN: 1841-3293
Journal RSS Feed
Language: English
Page range: 25 - 36
Published on: Aug 14, 2013
Published by: West University of Timisoara
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
nonlinear feature extraction,
evolutionary algo- rithms,
linear discriminant analysis
Related subjects:
Mathematics,
General mathematics

© 2013 Mihaela Breaban, Dan Simovici, Henri Luchian, published by West University of Timisoara
This work is licensed under the Creative Commons License.

Volume 51 (2013): Issue 1 (June 2013)
Previous article
Next article