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在生态系统中的信息的机器学习和可持续性

Machine Learning in Ecosystem Informatics and Sustainability
课程网址: http://videolectures.net/ijcai09_dietterich_mleis/  
主讲教师: Thomas Dietterich, Carlos Guestrin
开课单位: 俄勒冈州立大学
开课时间: 2009-07-22
课程语种: 英语
中文简介:
生态系统信息学将数学和计算工具结合在一起,以解决生态系统科学中的科学和政策挑战。这些挑战包括用于收集数据的新型传感器,用于自动数据清理的算法,用于从数据建立统计模型的学习方法以及用于将机械模型拟合到数据的方法,以及用于设计生物圈管理的最佳策略的算法。本演讲将介绍最近的两项工作 - 用于自动节肢动物种群计数的新设备和用于自动清洁传感器网络数据的线性高斯DBN。它还将提供从传感器到策略的整个范围内的开放问题的示例。
课程简介: Ecosystem Informatics brings together mathematical and computational tools to address scientific and policy challenges in the ecosystem sciences. These challenges include novel sensors for collecting data, algorithms for automated data cleaning, learning methods for building statistical models from data and for fitting mechanistic models to data, and algorithms for designing optimal policies for biosphere management. This talk will describe recent work on the first two of these---new devices for automated arthropod population counting and linear Gaussian DBNs for automated cleaning of sensor network data. It will also give examples of open problems along the whole spectrum from sensors to policies.
关 键 词: 生态资讯; 拟合机理模型数据; 生物圈管理
课程来源: 视频讲座网
最后编审: 2020-10-14:yumf
阅读次数: 54