Problem 1.6 Multivariate Gaussian (a) The multivariate Gaussian distribution is N (x|μ, ⌃) = 1 exp ⇢ 1 (x μ)T ⌃1 (x μ) . 2 (S.158) CS5487 Problem Set Solutions – Tutorials (1-5) Antoni Chan Department of Computer Science City University of Hong Kong Tutorial Problems (1-5) (2⇡)d/2 |⌃|1/2 Assuming a diagonal covariance matrix, ⌃ […]
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EE6605 HW#5 Solutions 2020 5-1 (i) Ranking: (a) < (b) < (c) < (d) < (e). Here, A < B means A is weaker than B. (ii) No. The edge betweenness values of the motifs are not proportional to the above ordering. 5-2 (i) 𝑤12 = 6 𝑤15 = 6 𝑤23 = 6 𝑤25 =
程序代写代做代考 graph C go EE6605 HW#5 Solutions 2020 Read More »
Complex Networks Lecture 1: Basic Concepts EE 6605 Instructor: G Ron Chen Most pictures on this ppt were taken from un-copyrighted websites on the web with thanks Some Background and Motivation Between two randomly selected persons in the world, how many friends are there connecting them together? When searching from one webpage to
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這份作業的截止時間是 2020 年 12 月 9 日晚上九點。在你開始前，請閱讀課本的第十四章一至四 節，以及第十五至十七章1。為這份作業設計測試資料並且提供解答的助教是鄭宇伶。 小叮嚀:請注意 PDOGS 上的 python 版本是 3.5，此版本的 dictionary 不像後面的版本會自動排序， 若是同一程式碼每一次上傳結果都不一樣，有可能是這個問題。 第一題 (10 分)大家小時候應該都有看過撲克牌，或甚至玩過一些撲克牌遊戲，在某些撲克牌遊戲中，例如梭 哈、大老二、十三張、德州撲克等等，都會以五張牌的組合，比較大小來決定勝負。而每張撲克牌都有 特定的花色和點數，這樣的結構讓我們很自然地會考慮把撲克牌包成類別。由於前幾週的課程介紹過類 別，在本題就讓我們來練習設計和實作類別吧2!我們將在程式中建立名為 Card 的類別，每個 Card 物 件裡面儲存該張撲克牌的花色和點數。類別的一部份如下: 本題會發給你五張撲克牌，要求你決定如何出牌。你的程式應該讀取撲克牌資訊，建立五個 Card 物件，並依照以下規則計算分數: • 規則 a:如果你打出一張 A，你可以獲得 1 分。 • 規則 b:如果你打出一對，也就是有兩張相同點數的牌，每對可以獲得 2 分。 • 規則 c:如果你打出同花，也就是五張同一花色的牌，你可以獲得 3 分。 • 規則 d:如果你打出順子，也就是五張順連的牌，你可以獲得 5 分。順連與否不考慮花色，也不 因點數而中斷，比如說黑桃 Q、梅花 K、方塊
Problem 7.1 CS5487 Problem Set 7 Linear Dimensionality Reduction Antoni Chan Department of Computer Science City University of Hong Kong Dimensionality Shell of a hypersphere Consider a hypersphere S1 of radius r in Rd, and its shell of thickness ✏. The shell can be defined as the region between S1 and another hypersphere S2 with
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Problem 6.1 CS5487 Problem Set 6 Bayes Decision Theory Antoni Chan Department of Computer Science City University of Hong Kong Bayes Decision Theory BDR with unbalanced loss function Consider a two-class problem with y 2 {0, 1} and measurement x, with associated prior distribution p(y) and class-conditional densities p(x|y). (a) Consider the loss-function: 8>:0, g(x)
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Complex Dynamical Networks: Lecture 2: Network Topologies — Basic Models and Properties EE 6605 Instructor: G Ron Chen Most pictures on this ppt were taken from un-copyrighted websites on the web with thanks Regular Networks (a) Fully-connected network (b) Ring-shaped coupled network (c) Star-shape coupled network Regular Networks Fractal Network Lattice Basic Properties of Regular
* CPSC 320: DP in 2-D The Longest Common Subsequence of two strings A and B is the longest string whose letters appear in order (but not necessarily consecutively) within both A and B. For example, the LCS of computer science and mathematics is the length 5 string mteic (computer science and mathematics). Biologists: If
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EE6605 HW#3 Solutions 2020 3-1 1 e1 e4 4 2 e3 e2 e5 5 (i) Matrices 3 1 0 1 1 0 0 1 0 0 0 0 1 1 0 1 1 0 0, L1 1 2 0 0 0 0 1 1 0 1 0 2 1 1 3 1 1 0
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HOMEWORK PROBLEMS #4 4-1 A standard chessboard is shown in the following Figure (a). Define a new “bishop-pawn” marked by a red disc as shown in Figure (b), which can move only “one step by one step” along the diagonal direction, as indicated in Figure (b). Can this “bishop-pawn” start from a black block, somewhere
程序代写代做代考 graph algorithm C HOMEWORK PROBLEMS #4 Read More »