@article{RSA_1996__44_4_19_0,
author = {Nakache, J.-P. and Vilain, J. and Fertil, B.},
title = {Discrimination et r\'egression par une m\'ethode neuromim\'etique et par la m\'ethode de segmentation {CART} : application \`a diff\'erentes donn\'ees et comparaison des r\'esultats},
journal = {Revue de Statistique Appliqu\'ee},
pages = {19--40},
year = {1996},
publisher = {Soci\'et\'e de Statistique de France},
volume = {44},
number = {4},
language = {fr},
url = {https://www.numdam.org/item/RSA_1996__44_4_19_0/}
}
TY - JOUR AU - Nakache, J.-P. AU - Vilain, J. AU - Fertil, B. TI - Discrimination et régression par une méthode neuromimétique et par la méthode de segmentation CART : application à différentes données et comparaison des résultats JO - Revue de Statistique Appliquée PY - 1996 SP - 19 EP - 40 VL - 44 IS - 4 PB - Société de Statistique de France UR - https://www.numdam.org/item/RSA_1996__44_4_19_0/ LA - fr ID - RSA_1996__44_4_19_0 ER -
%0 Journal Article %A Nakache, J.-P. %A Vilain, J. %A Fertil, B. %T Discrimination et régression par une méthode neuromimétique et par la méthode de segmentation CART : application à différentes données et comparaison des résultats %J Revue de Statistique Appliquée %D 1996 %P 19-40 %V 44 %N 4 %I Société de Statistique de France %U https://www.numdam.org/item/RSA_1996__44_4_19_0/ %G fr %F RSA_1996__44_4_19_0
Nakache, J.-P.; Vilain, J.; Fertil, B. Discrimination et régression par une méthode neuromimétique et par la méthode de segmentation CART : application à différentes données et comparaison des résultats. Revue de Statistique Appliquée, Tome 44 (1996) no. 4, pp. 19-40. https://www.numdam.org/item/RSA_1996__44_4_19_0/
, , , , Classification and Regression Trees. Belmont, 1984. | Zbl
, , , Comparing Artificial neural networks to other statistical methods for medical outcome prodiction. In proceeding : IEEE Int. Conference on Neural Networks, Orlando, F1, p. 2213, 1994.
CART, A software classification and regression trees. Yorshire Ct. Lafayette, California: California Statistical Software, inc., 1984. | MR
, , Analyse discriminante sur variables qualitatives. Polytechnica Ed, 1994.
, , Neural Networks for Optimization and Signal Processing, p. 526. Stuttgart: Wiley, J. & Sons Ltd & Teubner, B.G., 1993. | Zbl
, , Un nouvel outil pour l'analyse de données : les réseaux de neurones. Applications en microbiologie, Bulletin de la société Française de Microbiologie 7, 10, 1992.
, , Des réseaux de neurones, 2 édition, p. 232. Paris: Editions Eyrolles, 1993.
, , Multiple Learning Sessions to Improve Predictions and Evaluate Reliability of Neural Networks. In proceeding : 4th International conference on Artificial Neural Networks, Sorrento, Italy, 1994, p. 1323.
, , , , Syndromes douloureux aigus de l'abdomen. Aide au diagnostic par ordinateur, Nouvelle Presse Médicale 10, 3367, 1981.
, , , , On the relations between discriminant analysis and multilayer perceptrons, in Neural Networks (USA), vol. 4, n°3, p. 349 -69, 1991.
, , Neural networks that learn to predict probabilities : Global models of nuclear stability and decay, Neural Networks 8, 291, 1995.
, , Méthode de discrimination basée sur la construction d'un arbre de décision binaire, Rev. Stat. Appl., 36, 19, 1988. | Numdam
, , , Utilisation des réseaux probabilistes en analyse discriminante sur variables qualitatives, Rev. Stat. Appl., 1996. | Numdam
, , Hedonic prices and the demand for clean air, J. Envir. Econ. and Management 5, 81, 1978. | Zbl
, , , Post-neural network procedure to determine expected prediction values and their confidence limits, Neural Computing & applications 1, 224, 1993.
, An exploratory technique for investigating large quantities of categorical data, Applied Statistics, 29, 119, 1980.
, , , Fundamentals of the bootstrap based analysis of neural network's accuracy. In proceeding : WCNN, San Diego, USA, 1994, p. 673.
, Learning Scheme for asymmetric threshold networks. In proceeding : Cognitiva 85, Paris, France, p. 599, 1985.
, Binary response forecasting : comparaison between neural networks and logistic regression analysis, in proc. of WCN 2, 244, 1994.
, Unbiased Estimate of Generalization Error and Model Selection in Neural Network, Neural Networks 8, 215, 1995.
, , , Neural network Bayes error estimation, in proc. of IEEE ICNN 305, 1994.
, , , comparison of Constructive Algorithms for Neural Networks, in proc. of ICANN 1, 731, 1994.
, Practical neural network recipes in C++, p. 493. San Diego, CA, Academic Press, Inc, 1993. | Zbl | MR
, Signal and image processing with neural networks, a C++ sourcebook. New York, Wiley & sons, inc., 1994.
, , Explorations in parallel distributed processing. A handbook of models, programs and exercises, p. 344. Cambridge, MA, MIT Press, 1988.
, , , Machine learning Neural and Statistical Classification, Ed. Ellis Horwood N.Y., 1994. | Zbl
, , A modal search technique for predictive nominal scale multivariate analysis, J. Amer. Statis. Ass. 67, 768, 1972.
, , Problems in the analysis of survey data and a proposal, J. Amer. Statist. Ass. 58, 415, 1963. | Zbl
, , , Comparison of the performance of the conditional independence based model and the CART tree-structured discrimination model applied to a large medical data set. In proceeding : MIE 93, Jérusalem (Israël), 1993.
, , Estimating the Mean and Variance of the Target Probability Distribution, in proc. of IEEE ICNN 55, 1994.
, Assessing predictive accuracy by the bootstrap algorithm. In proceeding, 4th International conference on Artificial Neural Networks, Sorrento, Italy, p. 823, 1994.
, , An efficient constrained learning algorithm with momentum acceleration, Neural Networks 8, 237, 1995.
, Statistical aspects of neural networks. In : O.E. Barndorff-Nielsen, J.L. Jensen, and W.S. Kendall (ed.), Networks and Chaos - Statistical and Probabilistic Aspects, p. 40, Chapman & Hall, 1993. | Zbl
, Network methods in statistics. In : F.P. Kelly (ed.), Probability, Statistics, Optimisation, a Tribute to Peter Whittle, p. 241, Wiley, 1994a. | Zbl | MR
, Neural networks and flexible regression and discrimination. In : K.V. Mardia (ed.), Advances in Statistics 2, p. 39. Carfax: Abingdon, 1994b.
, , , , , The multilayer perceptron as an approximation to a Bayes optimal discriminant function, IEEE Transactions on Neural Networks 1, 296, 1990.
, , , Learning internal representations by error propagation. In : D. E. Rumelhart and J.L. McClelland (ed.), Parallel distributed processing : explorations in the microstructure of cognition, Vol. 1, Fondations, p. 318. Cambridge, MA, MIT Press, 1986.
, ARC et AURC, Comparison of discrimination methods; application to the acute abdominal pain diagnosis. In : D. Tfistsis (ed.), Lecture notes in médical informatics, Objective medical decision making, Vol. 28, p. 12: Springer-Verlag, 1985.
, Nonparametric statistics for the behavioral sciences, McGraw-Hill Intern. Book Company, 1956. | Zbl
, , A comparison of a neural network based estimator and two statistical estimators in a sparse and noisy data environment, in proc. of IJCNN 1, 289, 1990.
SPAD.N., Système portable dAnalyse des Données - procédure NEURO. Saint-Mandé, CISIA, 1993.
SPAD.S., Système Portable d'Analyse des Données - Segmentation. Saint-Mandé: CISIA, 1993.
, , Computing the probability density in connectionist regression, in proc. of WCNN 2, 311, 1994.
, Dynamique des systèmes complexes, p. 212. Paris, InterEditions & Editions du CNRS, 1989.






