搜索结果: 1-15 共查到“Machine Learning”相关记录34条 . 查询时间(0.415 秒)
苏州大学计算机科学与技术学院杨壮老师的论文在机器学习顶级期刊Journal of Machine Learning Research （JMLR）上在线发表（图）
杨壮 机器学习 Journal of Machine Learning Research
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2024/2/3
苏州大学计算机科学与技术学院杨壮副教授撰写的论文“Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning”在机器学习顶级期刊Journal of Machine Learning Research（JMLR）上在线发表，杨壮副教授为该论文的唯一作者，苏州大学计算机科学与技术学院为该论文...
Why is machine learning trending in medical research but not in our doctor’s offices?（图）
Bioengineering Penn Integrates Knowledge Professors Computer Science
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2023/6/27
Machine learning (ML) programs computers to learn the way we do—through the continual assessment of data and identification of patterns based on past outcomes. ML can quickly pick out trends in big da...
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
本报告介绍我们近期的两项工作。(1) 求解PDE的PINN方法在处理时间发展方程时往往遇到难以收敛的困难。我们发展了时间方向的预训练PINN方法及自适应步长方法，解决了收敛性困难，使PDE求解精度能够得到系统性提高。我们在一系列时间发展方程上获得了比文献报道更精确的训练结果。(2) 辐射调源问题是一个典型的反问题，要求调整辐射输运方程的边条件(源)，使解满足特定设计目标。我们针对辐射输运方程的时序...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Towards Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Large-scale Machine Learning Models
非线性动力学 机器学习模型 高效量子算法
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2023/4/13
Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
Learning to grow machine-learning models（图）
机器学习 LiGO技术 AI应用程序
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2023/6/20
It’s no secret that OpenAI’s ChatGPT has some incredible capabilities — for instance, the chatbot can write poetry that resembles Shakespearean sonnets or debug code for a computer program. These abil...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Forecasting Inflation with Economic Narratives and Machine Learning
经济叙事 机器学习 通货膨胀
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2023/4/23
In this paper we apply economic narratives to inflation forecasting using a large news corpus and machine learning algorithms. We measure economic narratives quantitatively from the full text content ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Structure-preserving machine learning moment closures for the radiative transfer equation
辐射传递方程 结构保持 机器学习 矩闭包
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2023/4/24
In this talk, we present our work on structure-preserving machine learning (ML) moment closure models for the radiative transfer equation. Most of the existing ML closure models are not able to guaran...
Study shows how machine learning could predict rare disastrous events, like earthquakes or pandemics（图）
机器学习 自然灾害 顺序采样技术
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2023/6/26
Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequentia...
Machine learning gives nuanced view of Alzheimer’s stages
机器学习 阿尔茨海默氏症 细微差别
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2023/5/18
A Cornell-led collaboration used machine learning to pinpoint the most accurate means, and timelines, for anticipating the advancement of Alzheimer’s disease in people who are either cognitively norma...
A far-sighted approach to machine learning（图）
机器学习 AI代理 机器学习框架
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2023/6/20
Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other players with conflicting interests. That’s how the game works.
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：The Use of Machine Learning in Treatment Effect Estimation
机器学习 治疗效果 估计
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2023/5/8
We present recent developments in double machine learning (DML) approach. The DML approach is concerned primarily with selecting the relevant control variables and functional forms necessary for the c...
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
Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job an...
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
Fusion, which promises practically unlimited, carbon-free energy using the same processes that power the sun, is at the heart of a worldwide research effort that could help mitigate climate change.
New program to support translational research in AI, data science, and machine learning（图）
人工智能 数据科学 机器学习转化
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2023/6/20
The MIT School of Engineering and Pillar VC today announced the MIT-Pillar AI Collective, a one-year pilot program funded by a gift from Pillar VC that will provide seed grants for projects in artific...
Using machine learning to identify undiagnosable cancers（图）
机器学习 模式识别 肿瘤诊断
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2023/6/21
The first step in choosing the appropriate treatment for a cancer patient is to identify their specific type of cancer, including determining the primary site — the organ or part of the body where the...