Overview Papers in Journals/Encyclopedia/Handbook

 

  • Lei Xu (2012), " On essential topics of BYY harmony learning: Current status, challenging issues, and gene analysis applications ",  A special issue on Machine learning and intelligence science: IScIDE (C), Journal of Frontiers of Electrical and Electronic Engineering 7(1) (2012) 147–196.
  • Lei Xu (2011), "Codimensional matrix pairing perspective of BYY harmony learning: hierarchy of bilinear systems, joint decomposition of data-covariance, and applications of network biology",   A special issue on Machine learning and intelligence science: IScIDE2010 (A), Journal of Frontiers of Electrical and Electronic Engineering in China 6(1) (2011) 86–119.
  • Lei Xu (2010), "Bayesian Ying-Yang system, best harmony learning, and five action circling", A special issue on Emerging Themes on Information Theory and Bayesian Approach, Journal of Frontiers of Electrical and Electronic Engineering in China, 5(3):281–328, 2010.
  • Lei Xu  (徐雷)(2011), 机器学习之模型选择, <<10000个科学难题--信息科学卷>>, 科学出版社, pp642-646
  • Lei Xu and LI Yanda (2010), "Emerging themes on information theory and Bayesian approach". Journal of Frontiers of Electrical and Electronic Engineering in China, vol.5 no.3, 237-240.
  • Lei Xu (2009), "Learning Algorithms for RBF Functions and Subspace Based Functions", Ch.3 in "Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques", eds. by Olivas, Guerrero, Sober, Benedito, & Lopez, IGI Global publication, pp60-94.
  • Lei Xu  (2008),  “Independent Subspaces”  in Encyclopedia of Artificial Intelligence,  Edited By: Juan Ramón, Rabuñal Dopico; Julian Dorado; Alejandro Pazos,  IGI Global (IGI)  publishing company,  pp903-912.
  • Lei Xu  and E..Oja (2008),  Randomized Hough Transform  in Encyclopedia of Artificial Intelligence,  Edited By: Juan Ramón,  Rabuñal Dopico; Julian Dorado; Alejandro Pazos,  IGI Global (IGI)  publishing company,  pp1354-1361.
  • Lei Xu  and  Shun-ichi Amari (2008),  “Combining Classifiers and Learning Mixture-of-Experts”  in Encyclopedia of Artificial Intelligence,  Edited By: Juan Ramón,  Rabuñal Dopico; Julian Dorado; Alejandro Pazos,  IGI Global (IGI)  publishing company,  pp318-326.

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

·        Lei Xu (2007), Rival Penalized Competitive Learning,  In Scholarpedia, no. 19850, http://scholarpedia.org, 2007.

  • Lei Xu (2002a), `` Ying-Yang learning", The Handbook of Brain Theory and Neural Networks, 2nd ed., Michael A. Arbib, The MIT Press, pp1231-1237, 2002.