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清华大学材料科学与工程研究院《材料科学论坛》:Advanced Thermal Energy Harvest...
全球变化科学紫荆论坛第308期:Stratospheric Water Vapor and Deep Convection
From Band Topology to Density Waves: the Power of High-DimensionalScattering ...
Quasi-3 Dimensional Flow Theory and Gas Turbine Aero-thermo Design
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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