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| Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop 科技报告 来源:National Academies Press. 出版年: 2022 作者: National Academies of Sciences, Engineering, and Medicine 收藏  |  浏览/下载:3/0  |  提交时间:2022/06/24 |
| Using Prices, Automation, and Data to Shape Electricity Demand and Integrate Renewables into the Grid 科技报告 来源:Resources for the Future. 出版年: 2022 - 收藏  |  浏览/下载:1/0  |  提交时间:2022/06/24 |
| Where Are All the Jobs? A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries 科技报告 来源:Oxford Martin School, University of Oxford. 出版年: 2022 作者: World Bank 收藏  |  浏览/下载:7/0  |  提交时间:2022/06/24 |
| Data Protection or Data Utility? 科技报告 来源:Center for Strategic & International Studies. 出版年: 2022 作者: Alexander Kersten 收藏  |  浏览/下载:30/0  |  提交时间:2022/02/23 |
| The effect of forest land use on the cost of drinking water supply: machine learning evidence from South African data 科技报告 来源:Environment for Development Initiative. 出版年: 2022 作者: Dambala Gelo; Jane Turpie 收藏  |  浏览/下载:2/0  |  提交时间:2022/02/16 |
| Adaptive Water Management in the Face of Uncertainty: Integrating Machine Learning, Groundwater Modeling and Robust Decision Making 科技报告 来源:RAND Corporation. 出版年: 2021 作者: admin 收藏  |  浏览/下载:2/0  |  提交时间:2022/01/14 |
| Imperial students to supercharge their entrepreneurial ideas 科技报告 来源:Imperial College London. 出版年: 2021 作者: admin 收藏  |  浏览/下载:5/0  |  提交时间:2022/01/14 |
| Tropical peat subsidence rates are related to decadal LULC changes: Insights from InSAR analysis 科技报告 来源:Institute for Global Environmental Strategies. 出版年: 2021 作者: Umarhadi, Deha Agus; Widyatmanti, Wirastuti; Kumar, Pankaj; Yunus, Ali P.; Khedher, Khaled Mohamed; Kharrazi, Ali; Avtar, Ram 收藏  |  浏览/下载:13/0  |  提交时间:2021/12/15 |
| Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies 科技报告 来源:Climate Analytics. 出版年: 2021 作者: Max Callaghan; Carl-Friedrich Schleussner; Shruti Nath; Quentin Lejeune; Thomas R. Knutson; Markus Reichstein; Gerrit Hansen; Emily Theokritoff; Marina Andrijevic; Robert J. Brecha; Michael Hegarty; Chelsea Jones; Kaylin Lee; Agathe Lucas; Nicole van Maanen; Inga Menke; Peter Pfleiderer; Burcu Yesil and Jan C. Minx 收藏  |  浏览/下载:11/0  |  提交时间:2021/10/22 |
| RCTs Against the Machine: Can Machine Learning Prediction Methods Recover Experimental Treatment Effects? 科技报告 来源:Resources for the Future. 出版年: 2021 作者: Brian Prest; Casey Wichman; and Karen Palmer 收藏  |  浏览/下载:10/0  |  提交时间:2021/10/07 |