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Journals in DBLP

Neurocomputing
2004, volume: 57, number:

  1. Thomas Villmann
    Special issue on new aspects in neurocomputing. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:1-2 [Journal]
  2. Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
    A general framework for unsupervised processing of structured data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:3-35 [Journal]
  3. Ying Han, Emilio Corchado, Colin Fyfe
    Forecasting using twinned principal curves and twinned self-organising maps. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:37-47 [Journal]
  4. John Aldo Lee, Amaury Lendasse, Michel Verleysen
    Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:49-76 [Journal]
  5. James Henderson
    Estimating probabilities for unbounded categorization problems. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:77-86 [Journal]
  6. Mikael Bodén
    Generalization by symbolic abstraction in cascaded recurrent networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:87-104 [Journal]
  7. Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic
    Heteroscedastic kernel ridge regression. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:105-124 [Journal]
  8. Laurent Perrinet, Manuel Samuelides, Simon J. Thorpe
    Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:125-134 [Journal]
  9. Udo Seiffert
    Artificial neural networks on massively parallel computer hardware. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:135-150 [Journal]
  10. Thomas Villmann, Beate Villmann, Volker Slowik
    Evolutionary algorithms with neighborhood cooperativeness according to neural maps. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:151-169 [Journal]
  11. Atsushi Imiya, Hisashi Ootani, Kazuhiko Kawamoto
    Linear manifolds analysis: theory and algorithm. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:171-187 [Journal]
  12. Francesco Masulli, Giorgio Valentini
    An experimental analysis of the dependence among codeword bit errors in ECOC learning machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:189-214 [Journal]
  13. Branko Ster
    An integrated learning approach to environment modelling in mobile robot navigation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:215-238 [Journal]
  14. Jiann-Shing Shieh, Chi-Fong Chou, Sheng-Jean Huang, Ming-Chien Kao
    Intracranial pressure model in intensive care unit using a simple recurrent neural network through time. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:239-256 [Journal]
  15. Olivier Lezoray, Dominique Fournier, Hubert Cardot
    Neural network induction graph for pattern recognition. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:257-274 [Journal]
  16. Antony Browne, Brian D. Hudson, David C. Whitley, Martyn G. Ford, Phil D. Picton
    Biological data mining with neural networks: implementation and application of a flexible decision tree extraction algorithm to genomic problem domains. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:275-293 [Journal]
  17. Chen-Wen Yen, Chieh-Neng Young, Mark L. Nagurka
    A false acceptance error controlling method for hyperspherical classifiers. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:295-312 [Journal]
  18. Enrique Romero, Lluís Màrquez, Xavier Carreras
    Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:313-344 [Journal]
  19. Roelof K. Brouwer
    Feed-forward neural network for one-to-many mappings using fuzzy sets. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:345-360 [Journal]
  20. Wen-Jyi Hwang, Chien-Min Ou, Rui-Chuan Lin, Wen-Wei Hu
    Layered video transmission based on genetic programming for lossy channels. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:361-372 [Journal]
  21. Tommy W. S. Chow, Sitao Wu
    Cell-splitting grid: a self-creating and self-organizing neural network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:373-387 [Journal]
  22. Xi Min Zhang, Yan Qiu Chen, Nirwan Ansari, Yun Q. Shi
    Mini-max initialization for function approximation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:389-409 [Journal]
  23. Silvio P. Sabatini, Fabio Solari, Luca Secchi
    A continuum-field model of visual cortex stimulus-driven behaviour: emergent oscillations and coherence fields. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:411-433 [Journal]
  24. Anping Chen, Jinde Cao, Lihong Huang
    Exponential stability of BAM neural networks with transmission delays. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:435-454 [Journal]
  25. Di Wang, Narendra S. Chaudhari
    An approach for construction of Boolean neural networks based on geometrical expansion. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:455-461 [Journal]
  26. Rong Long Wang
    A genetic algorithm for subset sum problem. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:463-468 [Journal]
  27. Mingjun Zhong, Huanwen Tang, Hongjun Chen, Yiyuan Tang
    An EM algorithm for learning sparse and overcomplete representations. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:469-476 [Journal]
  28. X. G. Wang, Z. Tang, H. Tamura, M. Ishii
    A modified error function for the backpropagation algorithm. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:477-484 [Journal]
  29. Jiahai Wang, Zheng Tang, Rong Long Wang
    Maximum neural network with nonlinear self-feedback for maximum clique problem. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:485-492 [Journal]
  30. Weixiang Liu, Nanning Zheng, Xi Li
    Relative gradient speeding up additive updates for nonnegative matrix factorization. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:493-499 [Journal]
  31. C. S. Rai, Yogesh Singh
    Source distribution models for blind source separation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:501-505 [Journal]
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