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Network: Computation in Neural Systems Volume 1, 1990 - Issue 4
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Original Article

Neural trees: a new tool for classification

J A Sirat Laboratoires d'Electronique Philips, 3 Av Descartes, 94451, Limeil-Brévannes, France
&
J-P Nadal Laboratoires d'Electronique Philips, 3 Av Descartes, 94451, Limeil-Brévannes, France; Laboratoire de Physique Statistique, Ecole Normale Supéricure, 24 rue Lhomond, F-75231, Paris Cedex 05, France, (Laboratoire associé au CNRS (URA 1306) et aux Universités Paris VI et Paris VII)
Pages 423-438 | Received 14 May 1990, Published online: 09 Jul 2009

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H M A Andree, A W Lodder & A Taal. (1996) Divergence measures based on entropy families: a tool for guiding the growth of neural networks. Network: Computation in Neural Systems 7:3, pages 533-554.
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ALESSANDRO SPERDUTI. (1994) Labelling Recursive Auto-associative Memory. Connection Science 6:4, pages 429-459.
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G T Barkema, H M A Andree & A Taal. (1993) The Patch algorithm: fast design of binary feedforward neural networks. Network: Computation in Neural Systems 4:3, pages 393-407.
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Mario Marchand & Mostefa Golea. (1993) On learning simple neural concepts: from halfspace intersections to neural decision lists. Network: Computation in Neural Systems 4:1, pages 67-85.
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Articles from other publishers (45)

Tanujit Chakraborty, Gauri Kamat & Ashis Kumar Chakraborty. (2023) Bayesian neural tree models for nonparametric regression. Australian & New Zealand Journal of Statistics 65:2, pages 101-126.
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Ashis Kumar Chakraborty & Barin Karmakar. 2023. Applications of Operational Research in Business and Industries. Applications of Operational Research in Business and Industries 1 19 .
Varun Ojha & Giuseppe Nicosia. (2022) Backpropagation Neural Tree. Neural Networks 149, pages 66-83.
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Ján Morgoš, Peter Klčo & Karol Hrudkay. (2022) Artificial Neural Network Based Mppt Algorithm for Modern Household with Electric Vehicle. Communications - Scientific letters of the University of Zilina 24:1, pages C18-C26.
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Tanujit Chakraborty, Swarup Chattopadhyay & Ashis Kumar Chakraborty. (2019) Radial basis neural tree model for improving waste recovery process in a paper industry. Applied Stochastic Models in Business and Industry 36:1, pages 49-61.
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Tanujit Chakraborty, Ashis Kumar Chakraborty & Swarup Chattopadhyay. (2019) A novel distribution-free hybrid regression model for manufacturing process efficiency improvement. Journal of Computational and Applied Mathematics 362, pages 130-142.
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Shiueng-Bien Yang. (2018) Constrained-storage variable-branch neural tree for classification. Neural Computing and Applications 31:8, pages 3665-3680.
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Tanujit Chakraborty, Ashis Kumar Chakraborty & C.A. Murthy. (2019) A nonparametric ensemble binary classifier and its statistical properties. Statistics & Probability Letters 149, pages 16-23.
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Tanujit Chakraborty, Swarup Chattopadhyay & Ashis Kumar Chakraborty. (2018) A novel hybridization of classification trees and artificial neural networks for selection of students in a business school. OPSEARCH 55:2, pages 434-446.
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Raghvendra Kannao & Prithwijit Guha. (2016) Generic TV advertisement detection using progressively balanced perceptron trees. Generic TV advertisement detection using progressively balanced perceptron trees.
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O. Ciftcioglu, M. S. Bittermann & I. S. Sariyildiz. (2007) Fuzzy Neural Tree for Knowledge Driven Design. Fuzzy Neural Tree for Knowledge Driven Design.
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G.L. Foresti & T. Dolso. (2004) An Adaptive High-Order Neural Tree for Pattern Recognition. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34:2, pages 988-996.
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Wonil Kim, Chuleui Hong & Changduk Jung. 2004. Advances in Artificial Intelligence – IBERAMIA 2004. Advances in Artificial Intelligence – IBERAMIA 2004 820 829 .
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G.L. Foresti. (2002) Invariant feature extraction and neural trees for range surface classification. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 32:3, pages 356-366.
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A. Ngom, I. Stojmenovic & V. Milutinovic. (2001) STRIP - a strip-based neural-network growth algorithm for learning multiple-valued functions. IEEE Transactions on Neural Networks 12:2, pages 212-227.
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J. M. Moreno, J. Madrenas & J. Cabestany. 2001. Practical Applications of Computational Intelligence Techniques. Practical Applications of Computational Intelligence Techniques 89 120 .
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J. L. Castro, M. Delgado & C. J. Mantas. (2000) MORSE: A general model to represent structured knowledge. International Journal of Intelligent Systems 15:1, pages 27-43.
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S. Ridella, S. Rovetta & R. Zunino. (1999) Representation and generalization properties of class-entropy networks. IEEE Transactions on Neural Networks 10:1, pages 31-47.
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J. Manuel Torres Moreno & Mirta B. Gordon. (1998) Efficient Adaptive Learning for Classification Tasks with Binary Units. Neural Computation 10:4, pages 1007-1030.
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A. Sperduti & A. Starita. (1997) Supervised neural networks for the classification of structures. IEEE Transactions on Neural Networks 8:3, pages 714-735.
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Alessandro Sperduti. (1997) On the Computational Power of Recurrent Neural Networks for Structures. Neural Networks 10:3, pages 395-400.
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Ke Chen, Xiang Yu & Huisheng Chi. (1997) Combining linear discriminant functions with neural networks for supervised learning. Neural Computing & Applications 6:1, pages 19-41.
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J. M. Moreno, J. Madrenas, J. Cabestany & J. R. Laúna. 1997. Biological and Artificial Computation: From Neuroscience to Technology. Biological and Artificial Computation: From Neuroscience to Technology 922 931 .
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H Andree, A Lodder & A Taal. (1996) Divergence measures based on entropy families: a tool for guiding the growth of neural networks. Network: Computation in Neural Systems 7:3, pages 533-554.
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Gian Paolo Drago & Sandro Ridella. (1996) On the convergence of a growing topology neural algorithm. Neurocomputing 12:2-3, pages 171-185.
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Les M. Sztandera. 1996. Foundations of Intelligent Systems. Foundations of Intelligent Systems 346 355 .
Florence d'Alché-Buc & Jean-Pierre Nadal. (1995) Asymptotic performances of a constructive algorithm. Neural Processing Letters 2:2, pages 1-4.
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Christian Jutten. 1995. From Natural to Artificial Neural Computation. From Natural to Artificial Neural Computation 361 373 .
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G Barkema, H Andree & A Taal. (1993) The Patch algorithm: fast design of binary feedforward neural networks. Network: Computation in Neural Systems 4:3, pages 393-407.
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Mario Marchand & Mostefa Golea. (1993) On learning simple neural concepts: from halfspace intersections to neural decision lists. Network: Computation in Neural Systems 4:1, pages 67-85.
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Adhanom A. Fekadu, Evor L. Hines & Julian W. Gardner. 1993. Artificial Neural Nets and Genetic Algorithms. Artificial Neural Nets and Genetic Algorithms 112 116 .
S. A. J Keibek, G. T Barkema, H. M. A Andree, M. H. F Savenije & A Taal. (1992) A Fast Partitioning Algorithm and a Comparison of Binary Feedforward Neural Networks. Europhysics Letters (EPL) 18:6, pages 555-559.
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Michael Biehl & Manfred Opper. (1991) Tilinglike learning in the parity machine. Physical Review A 44:10, pages 6888-6894.
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N. Mauduit, M. Duranton, J. Gobert & J.-A. Sirat. (1991) Building up neuromimetic machines with LNeuro 1.0. Building up neuromimetic machines with LNeuro 1.0.
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