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PR&ML Project Description -Project 11-The reportThe answer can be seen in the code.(3) Let N = 5 and 7, respectively. Repeat (2) for each N.N = 5：N=7：(4) Repeat (2) and (3) for Fisherfaces. Compare the simulation results of Eigenfaces and F.

今儿看到一篇很清楚解释 LDA（线性判别分析） 的文章，遂上传自己博客，以便自己日后方便查看回顾。讲得太棒了！原文传送门

Decision TreeHomework 4Report：ID3CARTCodeID3CartReference：Homework 4Report：ID3(a) (20 points) Build a decision tree based on the this table using ID3ID3ID3 algorithm (Please use the entropy impurity).The result：（based on ID3ID3ID3）CART(b) Bu.

Homework 3报告：Problem 1 Support Vector Machine (SVMSVMSVM)In this problem, we will write a program to implement the SVM algorithm. Let us start with a toy example (which can be found at SVM_matlab_Prof_olga_Veksler.pdf) and then work on more complicated.

Homework 1Part Ⅰ The curse of dimensionality(a) Describe the curse of dimensionality. Why does it make learning difficult in high dimensional spaces?Assuming that the feature is binary, each additional feature will exponentially increase the number of .

引例一个测试样本集S总共有100张照片，其中，电动车的照片有60张，摩托车的照片有40张。给模型（二分类模型）输入这100张照片进行分类识别，我们的目标是：要找出这100张照片中的所有电动车。在100张照片中，模型识别给出了50个电动车目标，剩下50个则是摩托车。这与实际的情况有出入（实际是：电动车60个，摩托车40个）。正例与负例正例：Positives，即你所关注的类别，本次问题在与找出...