Citation Relationships
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Silva LM, Felgueiras CS, Alexandre LA, Marques de Sá J (2006) Error entropy in classification problems: a univariate data analysis. Neural Comput 18:2036-61 [PubMed]
References and models cited by this paper | References and models that cite this paper | |
Devroye L, Gyorfi L, Lugosi G (1996) A probabilistic theory of pattern recognition Erdogmus D, Principe J (2000) Comparison of entropy and mean square error criteria in adaptive system training using higher order statistics Proceedings of the Intl. Conf. on ICA and Signal Separation :75-80 Erdogmus D, Principe JC (2002) An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems IEEE Transactions On Signal Processing 50:1780-1786 Kapur J (1993) Maximum-entropy models in science and engineering (rev ed) Kullback S (1959) Information theory and statistics Linsker R (1988) Self-organization in a perceptual network Computer 2:105-117 Marques_de_Sa J (2001) Pattern recognition: Concepts, methods and applications Newman D, Hettich S, Blake C, Merz C (1998) UCI repository of machine learning databases Available online at http:--www.ics.uci.edu-mlearn-MLRepository.html Parzen E (1962) On the estimation of a probability density function and mode Ann Math Stat 33:1064-1076 Press WH, Teukolsky SA, Vellerling WT, Flannery BP (1992) Numerical Recipes In C: The Art Of Scientific Computing Principe JC, Xu D, Fisher J (2000) Information theoretic learning Unsupervised adaptive filtering: Blind source separation, Haykin S, ed. pp.265 Santos J, Alexandre L, Marques_de_Sa J (2004) The error entropy minimization algorithm for neural network classification Int. Conf. on Recent Advances in Soft Computing Santos J, Marques_de_Sa J, Alexandre L, Sereno F (2004) Optimization of the error entropy minimization algorithm for neural network classification Intelligent Engineering Systems Through Artificial Neural Networks, Dagli C:Buczak A:Enke D:Embrechts M:Ersoy O, ed. pp.81 Shannon CE (1948) The mathematical theory of communication Bell Syst Tech J 27:379 Silva L, Marques_de_Sa J, Alexandre L (2005) Neural network classification using Shannons entropy European Symposium on Artificial Neural Networks Silverman BW (1986) Density Estimation for Statistics and Data Analysis, Monographs on Statistics and Applied Probability Stoller D (1954) Univariate two-population distribution free discrimination J Am Stat Assoc 49:770-777 | ||