Random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution for all trees in the forest. The generalization error for forests converges a.s. to
CONTENTS Contents v Preface to the Second Edition xv Preface to the First Edition xvii Acknowledgments for the Second Edition xxi Acknowledgments for the First Edition xxiii 1 Introduction and Preview 1.1 Preview of the Book 2 Entropy, Relative Entr
随机森林回归分宜预测，比向量机精度好点随机森林 论文作者写的随机森林代码，采用matlab混合编程，需要安装Fortran compiler。。。 (An interface to the random forest algorithm (version 3.3) written by Leo Breiman and Adele Cutler. This tool is for windows MATLAB R13 only)
CART已经被证明是一种“全局近似器” 如果给出预测变量x1.,,,xk以及一个需要预测的目标变量，CART保证可以发现预测变量和目标变量之间的关系。 前提条件是我们必须有足够的数据（可能需要几百万条记录） 标准的统计模型不是全局近似器，而一些神经网络是 所有决策树中，CART是唯一被证明的全局近似器。请看Breiman, Friedman, Olshen and Stone
notes for Advances_in_Financial_Machine_LearningSECTION
The history of Machine Learning
What Is Machine Learning?
An ML algorithm learns complex patterns in a
high-dimensional space without being specifically
directed
Marcos Lopez de prado, Advan
