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design matrix(设计矩阵) 是统计学上的概念,一般标记为 X,是由一组对象的解释变量(explanatory variables)构成的矩阵. 1. explanatory variables 刻画的是属性列(feature column),也即一个样本.一个对象都可视为,或者抽象为,符号化为,一个多维向量,向量的每一个 component 表示一定的特征,比如身高,体重等信息,起到解释的作用和目的,也即为 explanatory variable. 命名及翻译有赖于具体的语言环境,…

转自:http://www.statisticshowto.com/explanatory-variable/ What is an Explanatory Variable? An explanatory variable is a type of independent variable. The two terms are often used interchangeably. But there is a subtle difference between the two. When a…

Multi-task Learning for Stock Selection  Joumana Ghosn and Yoshua Bengio 摘要 用人工神经网络预测未来回报以便于做出对应的金融决策时,我们需要考虑是为每支stock训练一个独立的网络结构还是所有的stocks能够共享一个网络结构.本文采用了一种折中的方案:将每支股票的未来回报作为一个task,那么不同股票间的模型会共享一些参数,这是一种多任务学习的形式.这种方法的年收益比多种benchmarks高14%. 前言 以往的对于金…

4 回归 之前有转载过一篇文章:容量推荐引擎:基于吞吐量和利用率的预测缩放,里面用到了基本的线性回归来预测容器的资源利用情况.后面打算学一下相关的知识,译自:Machine Learning With Go 我们将探究的第一组机器学习技术通常被称为回归(regression),我们可以将回归理解为一个变量(例如销售额)的变化是如何影响到其他变量(如用户数)的.对于机器学习技术来说,这是一个很好的开端,它们是构成其他更加复杂技术的基础. 机器学习中的回归技术通常会注重评估连续值(如股票价格.温度或…

Mahout版本:0.7,hadoop版本:1.0.4,jdk:1.7.0_25 64bit. BuildForest是在mahout-examples-0.7-job.jar包的org\apache\mahout\classifier\df\mapreduce 路径下.直接运行该类,可以看到该类的使用方式: Usage: [--data <path> --dataset <dataset> --selection <m> --no-complete --minspli…

1.1 Statistical Models and Social Reality KEY: complex society v.s statistical models relationship,data,descriptive accuracy With few exceptions, statistical data analysis describes the outcomes of real social processesand not the processes themselve…

ARE 212 - Problem Set 5Due May 1stPart I: Theory (Optional)1. Show that the parameter estimates for b2SLS and bIV are equivalent if we have a model with one endogenousvariable and one instrumental variable.2. Prove that for E[Z,X] to be of full colum…

sklearn实战-乳腺癌细胞数据挖掘(博客主亲自录制视频教程) https://study.163.com/course/introduction.htm?courseId=1005269003&utm_campaign=commission&utm_source=cp-400000000398149&utm_medium=share https://en.wikipedia.org/wiki/Omnibus_test Omnibus tests are a kind of st…

比对 The raw Drop-seq data was processed with the standard pipeline (Drop-seq tools version 1.12 from McCarroll laboratory). Reads were aligned to the ENSEMBL release 84Mus musculusgenome. 10x Genomics data was processed using the same pipeline as for…