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The dawn of artificial intelligence
Symmetry-Resolved Entanglement in AdS & BCFT
The power of symmetry through defects in quantum matter
环境学术沙龙第673期:Air Pollution, Climate Change, and their Interactions in...
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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