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    Journal
    Name: Int. J. Machine Learning Cybernetics
    Year: 2014
    Volume: 5
    Number: 3
    DBLP: db/journals/mlc/mlc5.html
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    Below you find the publications assigned to this venue.

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    Journal article
    Wei-Jie Chen, Yuan-Hai Shao, Ning Hong.
    Laplacian smooth twin support vector machine for semi-supervised classification.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Jin-Cheng Li, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan.
    Bi-firing deep neural networks.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Saleem Abdullah.
    N-dimensional (
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Abdallah Bashir Musa.
    A comparison of ??1-regularizion, PCA, KPCA and ICA for dimensionality reduction in logistic regression.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Xiu-Ling Liu, Dong Chen, Yalong Dong, Dong-Yu Wang, Bin Dong, Hongrui Wang.
    Reconstruction of surgical instruments in virtual surgery system.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Qingqing He, Deyou Liu, Huaiqin Wu, Sanbo Ding.
    Robust exponential stability analysis for interval Cohen-Grossberg type BAM neural networks with mixed time delays.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Hua Yao, William Zhu, Fei-Yue Wang.
    Secondary basis unique augmentation matroids and union minimal matroids.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Tao Kong, Gongping Yang, Lu Yang.
    A new finger-knuckle-print ROI extraction method based on probabilistic region growing algorithm.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Jian Fu, H. John Caulfield, Chance Glenn.
    Primitive attempt to turn images into percepts.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Journal article
    Masatoshi Sakawa, Takeshi Matsui.
    Random fuzzy bilevel linear programming through possibility-based fractile model.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Show item 1 to 10 of 81  

    Your query returned 81 matches in the database.