Definition 1. A Gaussian Process is a collection of random variables, any finite number of which have (consistent) joint Gaussian distributions. 高斯分布(Gaussian Distribution) 是由方差向量(一维的时候是一个常量)和一个协方差矩阵(一维是方差)确定. 而高斯过程是一个随机过程的集合,它由一个均值函数m(x)和方差函数k(x,x')…
When developing a Finite State Machine, it is often necessary to apply multiple transitions in tandem. To accomplish this in most Redux work flows requires at best, implementing multiple action handlers in separate reducers; or at worse, the need to…
进程 主要参考: http://www.bogotobogo.com/Linux/linux_process_and_signals.php 译者:李秋豪 信号与进程几乎控制了操作系统的每个任务. 在shell中输入ps -ef命令,我们将得到如下结果: (译者注:-e Select all processes. Identical to -A: -f Do full-format listing. This option can be combined with many other UNIX…
State of Hyperparameter Selection DANIEL SALTIEL VIEW NOTEBOOK Historically hyperparameter determination has been a woefully forgotten aspect of machine learning. With the rise of neural nets - which require more hyperparameters, more precisely tuned…
Introduction to Gaussian Processes Gaussian processes (GP) are a cornerstone of modern machine learning. They are often used for non-parametric regression and classification, and are extended from the theory behind Gaussian distributions and Gaussian…
