写在前面 首先,看完查了一下这个期刊 Environment International,是1区的文章,影响因子7.297!不愧是优秀的期刊,文章质量很高,内容很丰富. 内容 主要是PM25反演,利用AOD,NO2,NDVI,夜光,化学传输模型,为基础数据,提出高维扩展相关参数,利用弹性回归模型(普通损失函数后面加了L1L2正则项)elastic-net,进行拟合. 拟合两个模型,一个有AOD,一个没有,两个结果再用广义加性模型结合补充缺失值提高精度. 最后对结果长时序进行分析,也占了半个文章.…

ICLR 2014 International Conference on Learning Representations Apr 14 - 16, 2014, Banff, Canada Workshop Track Submitted Papers Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence Mathias Berglund, Ta…

A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python) MACHINE LEARNING PYTHON R   SHARE      MANISH SARASWAT, APRIL 12, 2016 / 52     Introduction Tree based learning algorithms are considered to be one of the best and mostly used s…

Machine Learning Crash Course  |  Google Developers https://developers.google.com/machine-learning/crash-course/ Google's fast-paced, practical introduction to machine learning ML Concepts Introduction to Machine Learning As you'll discover, machine…

Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank…

最近(以及预感接下来的一年)会读很多很多的paper......不如开个帖子记录一下读paper心得 SysML相关的文章很多来源于上学期的8980课.有些和具体field(比如DB/architecture/...)相关的就放到各个field的分类里啦,这里放一些不好分类的 Class Blog Mark一个大神的Blog Virtual Address Translation via Learned Page Table Indexes 在页表中使用learned index. 笔记在这里:…

Machine Learning Trick of the Day (2): Gaussian Integral Trick Today's trick, the Gaussian integral trick, is one that allows us to re-express a (potentially troublesome) function in an alternative form, in particular, as an integral of a Gaussian ag…

Over the last seven years more than 200 quantitative finance articles have been written by members of the QuantStart team, prominent quant finance academics, researchers and industry professionals. 在过去七年中,QuantStart一共发表了200多篇量化金融文章,这些文章的作者包括QS团队成员.优秀…

by Jason Brownlee on December 20, 2017 in Better Deep Learning Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task. It is a popular approach in deep learning w…

出处:arXiv: Artificial Intelligence, 2016(一年了还没中吗?) Motivation 使用GAN+RNN来处理continuous sequential data,并训练生成古典音乐 Introduction In this work, we investigate the feasibility of using adversarial training for a sequential model with continuous data, and eva…