from    
to    
search  

 


Two-dimensional materials: growth dynamics, characterization and electron dev...
2D Magnets and Heterostructures
Quantum Optomechanics with Soft-Clamped Membrane-in-the-Middle System
提升深度学习的可用性与性能
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

今日相关信息
Preparing for a Lunar Base: Environme...
谈红楼梦与中国的文化自觉
 
同类别相关信息
科研技能系列讲座之胡事民教授谈学术研究
创新·创造·创业
2006年中国科协年会-企业自主创新与国...
中国学子——崛起在世界竞争的新高地
Feature Reduction and RBFNN Archite...
学术活动