Keynotes

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  • [36]
    September 12, 2014, Seminar in University of New South Wales at Canberra, Australia, Report Title: Learning from Big Symbolic Data
  • [35]
    July 14, 2014, The 13th International Conf. on Machine Learning and Cybernetics, Lanzhou, China, Report Title: Big Data with Uncertainty
  • [34]
    May 12, 2014, Northeast University, Shenyang, China, Report Title: Learning from Big Data
  • [33]
    October 15, 2013, Univ. of Aberystwyth, Uk, Report Title: ELM for Big Data Classification
  • [32]
    August 7, 2013, Workshop on Random Weight Networks, Yinchuan, China, Report Title: Random Weight Neural Network for Big Data Classification
  • [31]
    August 1, 2013, Workshop on big data, Tianjin University, Tianjin, China, Report Title: ELM for Big Data Classification
  • [30]
    July 28, 2013, The 9th China annual conf. on uncertainty systems, Handan, China, Report Title: Big Data Classification under Uncertainty Environment
  • [29]
    July 4, 2013, College of Science, China Agricultural University, Beijing, Report Title: RWN: A New Technology for Machine Learning with Large Data
  • [28]
    June 24, 2013, Shenzhen University, Shenzhen, Report Title: RWN: A New Technology for Machine Learning with Large Data
  • [27]
    April 28, 2013, Lab. of Intelligent Information Processing in Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Report Title: New Advances in Architecture Selection of Random Weight Networks
  • [26]
    December 21, 2012, the City University of Hong Kong, Hong Kong, Report Title: Architecture Selection of RWNs and Their Improved Training Algorithms
  • [25]
    December 12, 2012, 2012 International Symposium on Extreme Learning Machines, Singapore, Report Title: Architecture Selection of RWNs and Their Improved Training Algorithms
  • [24]
    December 9, 2012, Malaysia University of Science and Technology, Malaysia, Report Title: Architecture Selection of RWNs and Their Improved Training Algorithms
  • [23]
    November 28, 2012, Swinburne University, Melbourne, Australia, Report Title: Architecture Selection of RWNs and Their Improved Training Algorithms
  • [22]
    November 27, 2012, The 1st Computer Science Workshop in La Trobe University, Melbourne, Australia, Report Title: Architecture Selection of RWNs and Their Improved Training Algorithms
  • [21]
    October 14-17, 2012, IEEE-SMC Annual Meeting, Board Meeting, Seoul, Korea, A keynote speech has been given
  • [20]
    September 29, 2012, Guangzhou University of Technology, Guangzhou, Report Title: Handling Uncertainty in Supervised Learning
  • [19]
    September 24-28, 2012, City University of Hong Kong, Hong Kong, Report Title: Handling Uncertainty in Supervised Learning
  • [18]
    April 28, 2012, South China University of Technology, Guangzhou, Report Title: Handling Uncertainty in Supervised Learning
  • [17]
    April 25, 2012, Henan Normal University, Xinxiang, Report Title: Uncertainty in Random Weight Network
  • [16]
    March 12th, 2012, Suzhou University, Suzhou, Report Title: Intelligent Information System and Learning in Uncertain Environments
  • [15]
    November 10, 2011, IEEE-SMC Distinguished Lecture Program, City University of Hong Kong, Hong Kong, Report Title: Handling Uncertainty in Supervised Learning
  • [14]
    November 2, 2011, Hebei University, Baoding, Title: Handling Uncertainty in Supervised Learning
  • [13]
    September 7, 2011, IEEE-SMC Distinguished Lecture Program, Hong Kong Polytechnic University, Hong Kong, Report Title: Different Writing: from Academic Papers to Research Proposals
  • [12]
    August 29, 2011, Sun Yat-sen University, Guangzhou, Title: Handling Uncertainty in Supervised Learning
  • [11]
    August 26, 2011, IEEE-SMC Distinguished Lecture Program, Hong Kong Polytechnic University, Hong Kong, Report Title: Handling Uncertainty in Supervised Learning
  • [10]
    June 2010, Xinxiang University, Xinxiang, Report Title: Inverse Problem of Support Vector Machines and Its Applications
  • [9]
    August 2009, the 9th Conference of China Rough Set and Soft Computing, Hebei Normal University, Shijiazhuang, Report Title: A Comparative Study on Rule Generation Between Decision-tree-based and Rough-set-based Approaches
  • [8]
    May 10, 2009, Zhejiang Ocean University, Zhoushan, Report Title: Sample Selection Based on Maximum Uncertainty
  • [7]
    December 8, 2008, IEEE-SMC Distinguished Lecture Program, National Taiwan University of Science and Technology, Taiwan, Report Title: Sample Selection Based on Maximum Uncertainty
  • [6]
    December 5, 2008, 2008 Workshop on Consumer Electronics, Jinwen University of Science and Technology, Taiwan, Report Title: Fuzzy Integral and Its Application to Classification
  • [5]
    October 31, 2008, The 14th China Fuzzy Mathematics and Fuzzy Systems Conference, Fujian, Title: Fuzzy Integral and Its Application to Classification
  • [4]
    September 22, 2008, IEEE-SMC Distinguished Lecture Program, City University of Hong Kong, Hong Kong, Report Title: Fuzzy Integral and Its Application to Classification
  • [3]
    September 18, 2006, 2006 Asian Fuzzy Systems Society International Conference, Baoding, Report Title: Information Fusion based on Fuzzy Integrals and Its Application to Classification
  • [2]
    October 10, 2006, The 13th China Fuzzy Mathematics and Fuzzy Systems Conference, Shaanxi Normal University, Xi'an, Title: Theoretical Foundations of Statistical Learning Theory and Research on the Generalization of SVM
  • [1]
    August 15, 2006, International Conference on Machine Learning and Cybernetics, Dalian, the report topic: SVM Inverse Problem and Its Application to Decision Tree Induction
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