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The Rise and Promise of Artificial Molecular Machines in PolymerChemistry and...
世纪物理情系列讲座 第20讲:Topology, Spin and Orbital in DNA-type Chiral Quan...
Construction of mode based reduced order models (ROM) for moving bodies& ...
Trustworthy Machine Learning in the Real World: Distributional Robust Extrapo...
报告题目:
Feature Reduction and RBFNN Architecture Selection for Supervised Pattern Classification Problems using Localized Generalization Error Model
 报告人:
Prof. Daniel Yeung
IEEE Fellow, IEEE Distinguished Lecturer

Department of Computing, Hong Kong Polytechnic University, Hong Kong
报告时间:
2006-03-30 10:00
报告地点:
North 401, Weilun Building, School of Economics and Management
主办单位:
Research Center for Contemporary Management, Tsinghua University
  简介:

清华大学现代管理研究中心主办

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