本文当为经典的随机有限集文档，出自ronald mahler博士

Random files to upload for actiavtion.

本资源主要简单介绍随机森林的原理，随机森林的应用特点，以及它的实例和在python上的实现。

Markov Random Field in image modeling 中科院自动化所大牛李子青的一本专著

基于AR模拟高斯粗糙表面，对于表面模拟有一定帮助

SDETools：Matlab工具箱，用于随机微分方程的数值解

random随机性测试软件，已编译成功，可运行

随机映射(Random Projection)算法

西安交大汪荣鑫编写。影印版，比较清楚，可以供初学者和自学者使用，也可以作为教科书使用。

The fourth edition of "Probability, Random Variables and Stochastic Processes" has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest.