Bayesian Ying-Yang System and Harmony Learning Theory

 

Major Readings

 

      Shikui TU, Lei Xu (2011), "Parameterizations make different model selections: Empirical findings from factor analysis", A special issue on Machine learning and intelligence science: IScIDE2010 (B), Journal of Frontiers of Electrical and Electronic Engineering in China 6(2) (2011) 256-274.

      Lei SHI, Shikui TU, Lei Xu (2011), " Learning Gaussian mixture with automatic model selection:A comparative study on three Bayesian related approaches", A special issue on Machine learning and intelligence science: IScIDE2010 (B), Journal of Frontiers of Electrical and Electronic Engineering in China 6(2) (2011) 215-244.

      Lei Xu (2007), Bayesian Ying Yang Learning, In Scholarpedia, no.18395, http://scholarpedia.org, 2007.

Other Readings

      Long, W., Tu, S., & Xu L. (2017). A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering. Lecture Notes in Computer Science, Vol 10585In International Conference on Intelligent Data Engineering and Automated Learning (pp. 489-499). Springer, Cham.

      Guangyong Chen, Fengyuan Zhu, Pheng Ann Heng, Lei Xu (2015), Image denoising, local factor analysis, Bayesian Ying-Yang harmony learning”, in Advances in Independent Component Analysis and Learning Machines, (Bingham, Kaski, Lampinen and Laaksonen, Eds), Elsevier, Amsterdam, 2015.  

       Guangyong Chen, Pheng Ann Heng, Lei Xu (2014),  Projection-embedded BYY learning algorithm for Gaussian mixture-based clustering”, Springer-Nature OA Journal, Applied Informatics 2015, 2:4  doi:10.1186/s40535-015-0007-5.

       Shikui Tu, Lei Xu (2014), Learning Binary Factor Analysis with Automatic Model Selection”,  Neurocomputing 134 (2014) 149-158.

       Zaihu Pang, Shikui Tu, Xihong Wu, Lei Xu  (2013), Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning”, Lecture Notes in Computer Science: Intelligent Science and Intelligent Data Engineering, Vol .7751, pp. 719-726, 2013.

       Lei Xu (2012), Semi-Blind Bilinear Matrix System, BYY Harmony Learning, and Gene Analysis Applications,Proc. of 6th International Conf. on New Trends in Information Science, Service Science and Data Mining, pp. 661-666, Oct. 23 - 25, 2012,  Taipei.

       Shikui Tu, Dingsheng Luo, Runsheng Chen and Lei Xu (2012), A Non-Gaussian Factor Analysis Approachto Transcription Network Component Analysis,” IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2012), pp. 404-411, May 9-12, San Diego, California.

      Tu S, Chen R, Lei Xu (2011), A binary matrix factorization algorithm for protein complex prediction. Proteome Science 2011, 9 (Suppl 1): S18, 2011.

      Shi L, Wang P., Liu H., Lei Xu , and Bao Z(2011), Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning, IEEE Trans. Signal Process., 2011, 59(2):610–617.

      Shi, L, Tu S, Lei Xu, Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning. In: Proceedings of the BIBM 2010 International on Bioinformatics and Biomedicine, Hong Kong, December 1821, 2010, pp 696-699.

      Tu S, Chen R, Lei Xu,. A binary matrix factorization algorithm for protein complex prediction. In: Proceedings of the BIBM 2010 International Workshop on Computational Proteomics, Hong Kong, December 1821, 2010, pp 113-118.

      An, Y.J., Hu, X.L., and Lei Xu (2006), ``A Comparative Investigation on Model Selection in Independent Factor Analysis" Journal of Mathematical Modeling and Algorithms 5, pp.447-473.

      X. Hu and Lei Xu (2004), ``A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models", Advances in Neural Networks -ISNN 2006: Lecture Notes in Computer Sciences, Vol. 3971, pp. 1214 - 1221, Springer Verlag, 2006.

      X. Hu and Lei Xu (2004), ``A comparative investigation on subspace dimension determination", Neural Networks, Vol. 17, pp1051-1059, 2004,

       X. Hu and Lei Xu (2004), ``Investigation on Several Model Selection Criteria for Determining the Number of Cluster", Neural Information Processing - Letters and Reviews, Vol. 4, No. 1, pp1-10, July 2004,

       Ma, J, Wang, T, and Lei Xu (2004), ``A gradient BYY harmony learning rule on Gaussian mixture with automated model selection", Neurocomputing, Vol 56, 481 - 487, 2004.

       Yiu-ming Cheung and Lei Xu (2003), `` Further studies on temporal factor analysis: comparison and Kalman Filter-based algorithm ", Neurocomputing, Vol. 50, 2003, 87-103.

       Ouyang Ning, Wing-kai Lam, K. Yamauchi and Lei Xu (1999), ``Using An Improved Back Propagation Learning Method to Diagnose The Sites of Cardiac Hypertrophy", MD Computing, Vol. 16, No.1, pp79-81, 1999.