Neuro-fuzzy classification using the correntropy criterion: Application to sleep depth estimation

Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010

Volumn 1, Issue , 2010, Pages 9-15

  Álvarez Estévez, Diego ^a   Príncipe, José C ^b   Moret Bonillo, Vicente ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRENTROPY; DEPTH ESTIMATION; FUZZY CLASSIFICATION; INFORMATION THEORETIC LEARNING; MEAN SQUARED ERROR; NEURO FUZZY CLASSIFICATION; NEURO-FUZZY CLASSIFIERS; ON-MACHINES; PARAMETER OPTIMIZATION; SLEEP STATE; SLEEP STUDIES;

ARTIFICIAL INTELLIGENCE; COST FUNCTIONS; INFORMATION THEORY; LEARNING ALGORITHMS; SLEEP RESEARCH;

FUZZY SYSTEMS;

EID: 84866137441     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. L. A. Zadch, "Fuzzy Sets", Information and Control, vol. 8, no. 3, pp. 338-353, Jun. 1965.
2. L. A. Zadeh, "The concept of a linguistic variable and its applications to approximate reasoning", Inform. Sci., vol. 8, pp. 199-249, 1975.
3. J-S. R. Jang, "ANFIS: Adaptive-Network-Based Fuzzy Inference System", IEEE Trans. on System, Man and Cybernetics, vol. 23, no. 3, pp. 665-685, June 1993.
4. nd IEEE International Conference on Fuzzy Systems, vol. 1, San Francisco, CA, USA, 1993, pp. 44-48.
5. J. Principe, D. Xu, and J. Fisher, "Information theoretic learning", in Unsupervised Adaptive Filtering, S. Haykin, Ed. New York: Wiley, 2000, vol. I, pp. 265-319.
6. I. Santamaría, P.P. Pokharel, and J.C. Principe, "Generalized Correlation Function: Definition, Properties, and Application to Blind Equalization", IEEE Trans. on Signal Processing, vol. 54, no. 6, pp. 2187-2197, June 2006.
7. W. Liu, P.P. Puskal, and J.C. Principe, "Correntropy: Properties and Applications in Non-Gaussian Signal Processing", IEEE Trans. on Signal Processing, vol. 55, no. 11, pp. 5286-5298, Nov. 2007
8. A. Singh, and J.C. Principe, "Using correntropy as a cost function in linear adaptive filters", in International Joint Conference on Neural Networks, Atlanta, USA, June 2009.
9. J. Xu, and J.C. Principe, "A pitch detector based on a generalized correlation function", IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 8, pp. 1420-1432, 2008.
10. A. Gunduz, A. Hegde, and J.C. Principe, "Correntropy as a novel measure for nonlinearity test", in International Joint Conference on Neural Networks, Vancouver, BC, July 2006, pp. 1856-1862.
11. Jian-Xu Xu, H. Bakardjian, A. Cichocki, and J.C. Principe, "A new nonlinear similarity measure for multichannel signals", Neural Networks, vol. 21, pp. 222-231, 2008.
12. B. W. Silverman, Density Estimation for Statistics and Data Analysis. London, U.K.: Chapman and Hall, 1986.
13. C-T. Sun, "Rule-Based Structure Identification in an Adaptive-Network-Based Fuzzy Inference System", IEEE Trans. on Fuzzy Systems, vol. 2, no. 1, Feb. 1994.
14. P. P. Bonissone, "Summarizing and propagating uncertain information with triangular norms", Int. J. Approximate Reasoning, vol. 1, pp. 71-101, 1987.
15. M. Sugeno, and G. T. Kang, "Structure identification of fuzzy model", IEEE Trans. on Fuzzy sets and systems, vol. 28, no. 11, pp. 15-33, 1988.
16. M. Fazle-Azeem, M. Hanmandlu, and N. Ahmad, "Structure identification of generalized Adaptive Neuro-Fuzzy Inference Systems, IEEE Transactions on Fuzzy Systems, vol. 11, no. 5, pp. 666-681, 2003.
17. S. L. Chiu, "Fuzzy model identification based on cluster estimation", Journal of Intelligent and Fuzzy Systems, vol. 2, pp. 267-278, 1994.
18. S.F. Quan, B.V. Howard, S. Redline, J. Robbins, J.M. Samet, and P.W. Wahl, "The Sleep Heart Health Study: design, rationale and methods", Sleep, vol. 20, no. 12, pp. 1077-1085, 1997.
19. A. Rechtschaffen and A. Kales, "A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects", US Department of Health, Education and Welfare Publich Health Service - NIH/NIND, 1968.
20. st Annual International Conference of the IEEE EMBS, Minneapolis, USA, 2009, pp. 5539-5542.
21. D. Erdogmus and J.C. Principe, "An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems", IEEE Trans. Signal Processing, vol. 50, pp. 1780-1786, Jul. 2002.
22. A. Singh, and J.C. Principe, "A loss function for classification based on a robust similarity metric", in IEEE World Congress on Computational Intelligence, Barcelona, Spain, 2010 (under review).
23. A. Singh and J.C. Principe, "Kernel width adaptation in Information Theoretic Cost Functions", in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), Dallas, USA, 2010.