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Narendra S. Chaudhari: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Xiangrui Wang, Narendra S. Chaudhari
    Classification Automaton and Its Construction Using Learning. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2003, pp:515-519 [Conf]
  2. Jinmiao Chen, Narendra S. Chaudhari
    Statistical Analysis of Long-Range Interactions in Proteins. [Citation Graph (0, 0)][DBLP]
    BIOCOMP, 2006, pp:296-302 [Conf]
  3. Han Bei Bei Cindy, Narendra S. Chaudhari, Jagdish Chandra Patra
    Design of a Virtual Shopping Mall: Some Observations. [Citation Graph (0, 0)][DBLP]
    CW, 2005, pp:345-348 [Conf]
  4. Xiangrui Wang, Narendra S. Chaudhari
    Profile Based Alignment Learning System For Language Inference. [Citation Graph (0, 0)][DBLP]
    IASSE, 2005, pp:94-99 [Conf]
  5. Viet Thang Nguyen, Jagdish Chandra Patra, Narendra S. Chaudhari
    A novel digital image watermarking scheme using blind source separation. [Citation Graph (0, 0)][DBLP]
    ICIP, 2004, pp:2649-2652 [Conf]
  6. Xiangrui Wang, Narendra S. Chaudhari
    Recurrent Neural Networks for Learning Mixed kth-Order Markov Chains. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:477-482 [Conf]
  7. Yi Xu, Narendra S. Chaudhari
    Rule Extraction Framework Using Rough Sets and Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1002-1007 [Conf]
  8. Jinmiao Chen, Narendra S. Chaudhari
    Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2004, pp:593-596 [Conf]
  9. Jinmiao Chen, Narendra S. Chaudhari
    Learning Long-Term Dependencies in Segmented Memory Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:362-369 [Conf]
  10. Jinmiao Chen, Narendra S. Chaudhari
    Capturing Long-Term Dependencies for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2004, pp:494-500 [Conf]
  11. Di Wang, Narendra S. Chaudhari
    Binary Neural Network Training Algorithms Based on Linear Sequential Learning. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2003, v:13, n:5, pp:333-351 [Journal]
  12. 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]
  13. Jinmiao Chen, Narendra S. Chaudhari
    Bidirectional segmented-memory recurrent neural network for protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:4, pp:315-324 [Journal]

  14. An Effective Model for Context-Free Grammar Inference. [Citation Graph (, )][DBLP]


  15. On Construction of Multi-class Binary Neural Networks. [Citation Graph (, )][DBLP]


  16. Improved Genetic Programming Based Multiclass Classifier Using a New Crossover Operator. [Citation Graph (, )][DBLP]


  17. An Improved Model for Learning Context-Free Grammars Based on Tree Automata. [Citation Graph (, )][DBLP]


  18. Hierarchical Reinforcement Learning Model for Military Simulations. [Citation Graph (, )][DBLP]


  19. Hard-limiter Neuron based Turing Machine Simulation with Constant Time Read/Write Operation. [Citation Graph (, )][DBLP]


  20. Constructive Semi-Supervised Classification Algorithm and Its Implement in Data Mining. [Citation Graph (, )][DBLP]


  21. Efficient Incremental Model for Learning Context-Free Grammars from Positive Structural Examples. [Citation Graph (, )][DBLP]


  22. Computational Capabilities of Soft-Computing Frameworks: An Overview. [Citation Graph (, )][DBLP]


  23. Performance evaluation of SVM based semi-supervised classification algorithm. [Citation Graph (, )][DBLP]


  24. A multiclass classifier using Genetic Programming. [Citation Graph (, )][DBLP]


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