图 书 馆
计算机可持续发展中机器学习面临的挑战Challenges for Machine Learning in Computational Sustainability |
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| 课程网址: | http://videolectures.net/nips2012_dietterich_sustainability/ |
| 主讲教师: | Thomas Dietterich |
| 开课单位: | 俄勒冈州立大学 |
| 开课时间: | 2013-01-16 |
| 课程语种: | 英语 |
| 中文简介: |  计算可持续性研究旨在开发和应用计算机科学方法来应对可持续管理地球生态系统的许多挑战。被视为一个控制问题，生态系统管理具有挑战性，原因有两个。首先，我们缺乏关于地球生态系统功能和结构的良好模型。其次，由于生态系统在多个尺度上表现出复杂的时空相互作用，因此很难计算出最佳的管理策略。本演讲将讨论计算机可持续性研究中的许多挑战和机遇中的一些挑战。其中包括传感器放置，数据解释，模型拟合，计算鲁棒的最佳策略，并最终成功执行这些策略。将讨论有关当前工作和每个问题中存在的未解决问题的示例。所有这些可持续性问题都涉及空间建模和优化，并且在促进或防止空间网络中沿边界流动方面，可以有效地构思所有这些问题。例如，鼓励濒临灭绝物种的恢复涉及建立合适的栖息地网络，并鼓励其在网络边缘扩散。相反，防止疾病，入侵物种和污染物的扩散涉及防止沿网络边缘流动。解决这些问题将需要在机器学习和优化的多个领域中取得进步。 |
| 课程简介: | Research in computational sustainability seeks to develop and apply methods from computer science to the many challenges of managing the earth's ecosystems sustainably. Viewed as a control problem, ecosystem management is challenging for two reasons. First, we lack good models of the function and structure of the earth's ecosystems. Second, it is difficult to compute optimal management policies because ecosystems exhibit complex spatio-temporal interactions at multiple scales. This talk will discuss some of the many challenges and opportunities for machine learning research in computational sustainability. These include sensor placement, data interpretation, model fitting, computing robust optimal policies, and finally executing those policies successfully. Examples will be discussed on current work and open problems in each of these problems. All of these sustainability problems involve spatial modeling and optimization, and all of them can be usefully conceived in terms of facilitating or preventing flows along edges in spatial networks. For example, encouraging the recovery of endangered species involves creating a network of suitable habitat and encouraging spread along the edges of the network. Conversely, preventing the spread of diseases, invasive species, and pollutants involves preventing flow along edges of networks. Addressing these problems will require advances in several areas of machine learning and optimization. |
| 关 键 词: | 可持续性; 空间建模; 生态系统管理 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-03-20：zyk |
| 最后编审: | 2021-03-20：zyk |
| 阅读次数: | 35 |