Ward, T., Doron, Y., Firoiu, V., Harley, T., Dunning,I., et al. Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures. In International Conference on Machine Learning, pp. 1407–1416, 2018.[
Interest in machine-learning applications within medicine has been growing, but few studies have progressed to deployment in patient care. We present a framework, context and ultimately guidelines for accelerating the translation of machine-learning-based interventions in health care. To be successful, ...
[9] Deep learning with Elastic Averaging SGD, Sixin Zhang, Anna Choromanska, Yann LeCun, arXiv preprint arXiv:1412.06651 [10] Communication Efficient Distributed Machine Learning with the Parameter Server, Li, Mu and Andersen, David G and Smola, Alex J and Yu, Kai, NIPS 2014 [11] 1-bit...
实验软件环境为:Centos 6.5,Java 1.8.0,Hadoop版本为Hadoop-2.6.0,远程数据库为SQL Sever2008。 实验使用了UCI Machine Learning Repository中的Census-income数据集,初始数据集共有199 523条记录,去除其中缺省值,剩余95 130条记录。每条记录包含40个属性,选择其中的7个属性作为准标识符。 2.2 实验分析 为证明本文...
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them. - mrdbourke/machine-learning-roadmap
Annotation UserAnnotation Marker MapCircle MapPolygon MapPolyline You can also add a variety of controls to allow a person to interact with the map to change the map’s scale, display or hide the device’s current location, and so on: ...
[10] Yang X,Yang X,Yang J,et al.Learning high-precision bounding box for rotated object detection via kullback-leibler divergence[J].Advances in Neural Information Processing Systems,2021,34:18381-18394. [11] Yang X,Yan J,Ming Q,et al.Rethinking rotated object detection with gaussian wasser...
Roadmap to becoming a Machine Learning developer in 2020 Translations 简体中文 Introduction Machine learning is Fun! Data Science Simplified Data Analysis Concepts: The Foundations of Data Science Computational and Inferential Thinking -The Foundations of Data Science ...
P(y|x;\theta)=\hat y^y(1-\hat y)^{1-y}\\ 对于m个样本 \{(x^{(1)},y^{(1)}),\cdots,(x^{(m)},y^{(m)})\}, y\in{0, 1} ,似然函数为: \begin{aligned} L(\theta)&=\prod_{i=1}^m {\hat y^{(i)}}^{y^{(i)}}(1-\hat y^{(i)})^{1-y^{(i)}} \\...
we focus on a machine-learned anonymized mobility map (hereon referred to as AMM) aggregated over hundreds of millions of smartphones and evaluate its utility in forecasting epidemics. We factor AMM into a metapopulation model to retrospectively forecast influenza in the USA and Australia. We show...