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嵌入式机器学习：使用TinyOS和乐高MINDSTORMS NXT的无线传感器网络应用支持向量机

Embedded Machine Learning: Using Support Vector Machines in Wireless Sensor Networks using TinyOS and Lego Mindstorms NXT
课程网址: http://videolectures.net/ecmlpkdd08_pedersen_emlu/  
主讲教师: Rasmus Pedersen
开课单位: 哥本哈根商学院
开课时间: 2008-10-10
课程语种: 英语
中文简介:
嵌入式机器学习教程将介绍在无线传感器网络中实现和使用二进制支持向量机的案例研究。它将使用一种非常流行的无线传感器网络操作系统，称为TinyOS，以及来自LEGO的全新激动人心的开放式硬件/软件平台Lego Mindstorms NXT。教程大纲（结构化主题列表）：本教程概述了嵌入式机器学习和无线传感器网络概述，TinyOS和编程语言nesC。它介绍了LEGO MINDSTORMS以及以有意义的方式解决问题所需的主要硬件项目。给出了二进制支持向量机到嵌入式机器学习问题约束的映射（内存，电池，小CPU）。
课程简介: The tutorial on embedded machine learning will present a case study of implementing and using a binary support vector machine in wireless sensor networks. It will use a very popular operating system for wireless sensor networks called TinyOS and the new exciting open hardware/software platform Lego Mindstorms NXT from LEGO. Outline of the tutorial (structured list of topics): The tutorial provides an overview of embedded machine learning and an Overview of wireless sensor networks, TinyOS and the programming language nesC. It provides an introduction to LEGO MINDSTORMS and the main hardware items needed to engage the problem in a meaningful way. The mapping of the binary support vector machine to the constraints of the embedded machine learning problem is given (memory, battery, little CPU).
关 键 词: 嵌入式机器学习; 支持向量机; 无线传感器网络
课程来源: 视频讲座网
最后编审: 2020-06-29：yumf
阅读次数: 59

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