郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! Qiang Yang, Yang Liu, Tianjian Chen, and Yongxin Tong. 2019. Federated Machine Learning: Concept and Applications. ACM Trans. Intell. Syst. Technol. 10, 2, Article 12 (February 2019), 19 pages. https://doi.org/0000001.0…

一.论文提出的方法: 使用进入ICU前48h的用药特征作为预测因子预测重症监护患者的死亡率和ICU住院时间. 用到了联邦学习,自编码器,k-means聚类算法,社区检测. 数据集:从50家患者人数超过600人的医院,每个医院抽取560名患者形成最终的28000例数据集,20000作为训练集,8000作为测试集. 二.具体实现: 1．每个医院各自训练自编码器重构药物特征 2． 每个医院用将各自data转换为向量表示,然后将所有医院的平均值返回给server 3． Server使用k-means算法…

Machine Learning for Developers Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learnin…

原文地址:http://www.demnag.com/b/java-machine-learning-tools-libraries-cm570/?ref=dzone This is a list of 25 Java Machine learning tools & libraries. Weka has a collection of machine learning algorithms for data mining tasks. The algorithms can either be…

ON THE EVOLUTION OF MACHINE LEARNING: FROM LINEAR MODELS TO NEURAL NETWORKS We recently interviewed Reza Zadeh (@Reza_Zadeh). Reza is a Consulting Professor in the Institute for Computational and Mathematical Engineering at Stanford University and a…

https://www.microsoft.com/net/learn/apps/machine-learning-and-ai/ml-dotnet Machine Learning made for .NET ML.NET is a machine learning framework built for .NET developers. Use your .NET and C# or F# skills to easily integrate custom machine learning…

In recent years, Kernel methods have received major attention, particularly due to the increased popularity of the Support Vector Machines. Kernel functions can be used in many applications as they provide a simple bridge from linearity to non-linear…

Serialization and deserialization are bottlenecks in parallel and distributed computing, especially in machine learning applications with large objects and large quantities of data.…

https://emerj.com/ai-sector-overviews/machine-learning-in-finance/ Machine learning has had fruitful applications in finance well before the advent of mobile banking apps, proficient chatbots, or search engines. Given the high volume, accurate histor…

Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These…