国科大模式识别刘成林期末试卷2016-2019

中国科学院大学模式识别 国科大2016期末考试题刘成林国科大2016期末考试题刘成林国科大2016期末考试题刘成林国科大2016期末考试题，欢迎下载。

内含2017-2019试卷及其答案，希望大家多多支持！

整合了网络上搜集的资料，很多人是博士考题和其他课程，刘成林的模式识别只找到这两年的。 祝同学们考试顺利！

国科大《模式分类》历年期末考试试卷集锦系列 （1）2015-2016 刘成林、向世明，学弟学妹们好好复习喲！

来自清华大佬的资料分享，中间传送者小渣！

国科大模式识别刘成林第六次作业数据集和程序，mnist数据集，SVM支持向量分类，验证。程序可能需要自己调整。

模式识别第一章作业题，中科院刘成林，Question 1 (Pattern Classification, Chapter 2, Problem 12) Let ωmax(x) be the state of nature for which P(ωmax|x) ≥ P(ωi|x) for all i, i = 1,...,c. (a) Show that P(ωmax|x) ≥ 1/c (b) Show that for the minimum-error-rate decision rule the average probability of error is given by P(error) = 1−RP(ωmax|x)p(x)dx (c) Use these two results to show that P(error) ≤ (c−1)/c (d) Describe a situation for which P(error) = (c−1)/c Question 2 (Pattern Classification, Chapter 2, Problem 13) In many pattern classification problems one has the option either to assign the pattern to one of c classes, or to reject it as being unrecognizable. If the cost for rejects is not too high, rejection may be a desirable action. Let λ(αi|ωi) =     0 i = j i,j = 1,...,c λr i = c + 1 λs otherwise where λr is the loss incurred for choosing the (c + 1)th action, rejection, and λs is the loss incurred for making a substitution error. Show that the minimum risk is obtained if we decide ωi if P(ωi|x) ≥ P(ωi|x) for all j and if P(ωi|x) ≥ 1− λr λs , and reject otherwise. What happens if λr = 0? What happens if λr > λs? Question 3 Now we have N samples, and each sample xi, i = 1,...,N has d-dimensions. Please provide us the proofs and the pseudo-codes of PCA algorithm Question 4 (Pattern Classification, Chapter 2, Problem 10) Consider the following decision rule for a two-category one-dimensional problem: Decide ω1 if x > θ; otherwise decide ω2. (a)Showtheprobabilityoferrorforthisruleisgivenby P(error) = P(ω1)Rθ−∞p(x|ω1)dx+P(ω2)R∞ θ p(x|ω2)dx (b) By differentiating, show that a necessary condition to minimize P(error) is that θ satisfy p(θ|ω1)P(ω1) = p(θ|ω2)P(ω2) (c) Does this equation define θ uniquely? (d) Give an example where a value of θ satisfying the equation actually maximizes the probability of error. Question 5 (Pattern Classification, Chapter 2, Problem 24) Consider the multivariate normal density for which σij = 0 and σii = σ2 i , i.e., Σ = diag(σ2 1,σ2 2,...,σ2 d). (a) Show that

国科大人工智能学院模式识别刘成林试卷及答案，包括20年考试题目回忆，

内含国科大刘成林老师高清2016-2017，2017-2018，2018-2019期末考试题，含有自己书写的答案