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Jacek Mandziuk: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Rafal Mikolajczak, Jacek Mandziuk
    Chaotic Time Series Prediction with Neural Networks - Comparison of Several Architectures. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:493-497 [Conf]
  2. Marcin Jaruszewicz, Jacek Mandziuk
    One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:1130-1135 [Conf]
  3. Jacek Mandziuk, Daniel Osman
    Temporal Difference Approach to Playing Give-Away Checkers. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:909-914 [Conf]
  4. Krzysztof Mossakowski, Jacek Mandziuk
    Artificial Neural Networks for Solving Double Dummy Bridge Problems. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:915-921 [Conf]
  5. Krzysztof Mossakowski, Jacek Mandziuk
    Neural Networks and the Estimation of Hands' Strength in Contract Bridge. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2006, pp:1189-1198 [Conf]
  6. Cezary Dendek, Jacek Mandziuk
    Including Metric Space Topology in Neural Networks Training by Ordering Patterns. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:644-653 [Conf]
  7. Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk
    Evolution of Heuristics for Give-Away Checkers. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:981-987 [Conf]
  8. Jacek Mandziuk, Lokendra Shastri
    Incremental Class Learning Approach and its Application to Handwritten Digit Recognition. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:203-206 [Conf]
  9. Daniel Osman, Jacek Mandziuk
    Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:549-554 [Conf]
  10. Jacek Mandziuk
    Optimization with the Hopfield network based on correlated noises: Experimental approach. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:30, n:1-4, pp:301-321 [Journal]
  11. Arun K. Jagota, Jacek Mandziuk
    Experimental Study of Perceptron-Type Local Learning Rule for Hopfield Associative Memory. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:111, n:1-4, pp:65-81 [Journal]
  12. Jacek Mandziuk, Lokendra Shastri
    Incremental class learning approach and its application to handwritten digit recognition. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2002, v:141, n:3-4, pp:193-217 [Journal]
  13. Pawel Kupis, Jacek Mandziuk
    Multiple Sequence Alignment with Evolutionary-Progressive Method. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:23-30 [Conf]
  14. Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk
    Evolutionary Approach to the Game of Checkers. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:432-440 [Conf]
  15. Jacek Mandziuk, Krzysztof Mossakowski
    Example-based Estimation of Hand's Strength in the Game of Bridge with or without Using Explicit Human Knowledge. [Citation Graph (0, 0)][DBLP]
    CIDM, 2007, pp:413-420 [Conf]

  16. Evolutionary-Progressive Method for Multiple Sequence Alignment. [Citation Graph (, )][DBLP]


  17. A Neural Network Classifier of Chess Moves. [Citation Graph (, )][DBLP]


  18. CI in General Game Playing - To Date Achievements and Perspectives. [Citation Graph (, )][DBLP]


  19. Probability-Based Distance Function for Distance-Based Classifiers. [Citation Graph (, )][DBLP]


  20. Improving Performance of a Binary Classifier by Training Set Selection. [Citation Graph (, )][DBLP]


  21. Classification Based on Combination of Kernel Density Estimators. [Citation Graph (, )][DBLP]


  22. Classification Based on Multiple-Resolution Data View. [Citation Graph (, )][DBLP]


  23. "Dead" Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System. [Citation Graph (, )][DBLP]


  24. Some thoughts on using Computational Intelligence methods in classical mind board games. [Citation Graph (, )][DBLP]


  25. Improved Multilabel Classification with Neural Networks. [Citation Graph (, )][DBLP]


  26. The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers. [Citation Graph (, )][DBLP]


  27. Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm. [Citation Graph (, )][DBLP]


  28. Solving the N-Queens problem with a binary Hopfield-type network. [Citation Graph (, )][DBLP]


  29. A neural network designed to solve the N-Queens Problem. [Citation Graph (, )][DBLP]


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