搜索结果: 1-15 共查到“理学 Machine Learning”相关记录19条 . 查询时间(0.289 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Machine learning methods for forward and inverse PDEs
正反向 偏微分方程 机器学习
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2023/4/27
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南京农业大学农学院《Science of The Total Environment》发表智慧农业团队“Improving the spatial and temporal estimation of ecosystem respiration using multi-source data and machine learning methods in a rainfed winter wheat cropland”(图)
智慧农业 碳循环 生态系统
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2023/10/28
2023年2月25日,农学院智慧农业团队在《Science of The Total Environment》期刊发表了题为“Improving the spatial and temporal estimation of ecosystem respiration using multi-source data and machine learning methods in a rainfed ...
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Solving brain dynamics gives rise to flexible machine-learning models(图)
大脑动力学 机器学习 微分方程
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2023/6/20
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Machine learning facilitates “turbulence tracking” in fusion reactors(图)
机器学习 聚变反应堆 湍流跟踪
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2023/6/20
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Machine learning, harnessed to extreme computing, aids fusion energy development(图)
机器学习 极限计算 聚变能源开发
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2023/6/21
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Machine learning discovers new sequences to boost drug delivery(图)
机器学习 药物递送 新序列 肽 基因治疗药物
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2023/6/7
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Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices(图)
林肯实验室 图开发 研讨会 网络科学 虚假信息追踪 机器学习
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2023/6/21
River flow: New machine learning methods could improve environmental predictions
river flow improve environmental predictions algorithm environmental prediction
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2021/8/5
Machine learning algorithms do a lot for us every day -- send unwanted email to our spam folder, warn us if our car is about to back into something, and give us recommendations on what TV show to watc...
APPLICATION OF MACHINE LEARNING IN URBAN GREENERY LAND COVER EXTRACTION
Neural Network Machine Learning Greenery Land Cover Auto Extraction Multispectral Image
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2018/5/15
Urban greenery is a critical part of the modern city and the greenery coverage information is essential for land resource management, environmental monitoring and urban planning. It is a challenging w...
2018集成机器学习和预测模拟研讨会(lntegrating Machine Learning and Predictive Simulatio)
2018 集成机器学习和预测模拟 研讨会
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2017/12/20
Industrial design and engineering, as well as healthcare, are facing unprecedented challenges with product complexity and increasingly faster innovation cycles. On the one hand, advances in computer m...
Machine learning could solve riddles of galaxy formation
Machine learning galaxy formation
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2015/12/7
A new machine-learning simulation system developed at the University of Illinois promises cosmologists an expanded suite of galaxy models – a necessary first step to developing more accurate and relev...
A minimax theorem with applications to machine learning, signal processing, and finance
convex optimization minimax theorem robust optimization
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2015/8/10
This paper concerns a fractional function of the form x^Ta/sqrt{x^TBx}, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, and choosing (a,B)...
Niche Modeling Perspective on Geographic Range Predictions in the Marine Environment Using a Machine-learning Algorithm
Geographic Range Predictions Machine-learning Algorithm
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2015/7/31
Biological communities are changing drastically in response to global climate change (Walther et al., 2002), changes in use by human populations (Krishtalka et al., 2002), and introduction of exotic s...
Using Machine Learning for Discovery in Synoptic Survey Imaging
Machine Learning Discovery Synoptic Survey Imaging
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2012/11/23
Modern time-domain surveys continuously monitor large swaths of the sky to look for astronomical variability. Astrophysical discovery in such data sets is complicated by the fact that detections of re...
Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques
Hadron Collider using machine Fast supersymmetry phenomenology
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2011/9/15
A pressing problem for supersymmetry (SUSY) phenomenologists is how to incorporate Large Hadron Collider search results into parameter fits designed to measure or constrain the SUSY parameters. Owing ...