Machine Learning, Robotic and Toy Computing Minitrack

被引：0
|
作者：
Hung, Patrick C. K. [1 ]
Huang, Shih-Chia [2 ]
Peres, Sarajane Marques [3 ]
机构：
[1] Univ Ontario Inst Technol, Fac Business & Info Cat Technol, Oshawa, ON, Canada
[2] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan
[3] Univ Sao Paulo, Sch Arts Sci & Humanities, Sao Paulo, Brazil
来源：
PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES | 2019年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The goal of this minitrack is to present both novel and industrial solutions to challenging technical issues as well as compelling smart application use cases. This minitrack will share related practical experiences to benefit the reader and will provide clear proof that machine learning technologies are playing an ever- increasing important and critical role in supporting robotic and toy computing applications - a new cross-discipline research topic in computer science, decision science, management sciences, and information systems.
引用
收藏
页码：1695 / 1695
页数：1
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