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Code sample 7.3 gives Per1 code to compute the word counts of the five most frequent words in the Poe short stories (namely, the, OL and, a, to). We use this term-document matrix for our first example. Output 7.9 first reads in the file Poe68.csv by using read.csv0. Then s c a l e 0 computes the z-scores of the word counts and puts these into the matrix, PoeSz, and out contains both the eigenvectors and eigenvalues of the correlation matrix (note that the correlation matrix of Poe5 is the same as Poe5z since both use z-scores instead of the original data). Taking the product of POe% with the eigenvectors produces the PCs. As shown in this output, the correlation matrix of these is the identity matrix, up to round-off error. Finally, out$vectors are both the eigenvectors and the coefficients of the PCs. This is also achievable with the function prcomp (), and output 7.10 gives the results. Note that the standard deviations are the square roots of the eigenvalues, and that the PCs

He conned victims and he also conned judges At his February 1998 sentencing for stealing almost $100,000 using fraudulent credit cards, he begged for mercy I won t let you down by reappearing before you in the future, he promised the federal judge10 His silver tongue obviously worked its magic as the judge sentenced Abdallah to a very lenient 25-year prison sentence As soon as he got out of jail in 2000, he went right back to what he did best stealing identities This is why Abdallah is a charter member of the Identity Theft Hall of Infamy..

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assuming for simplicity that all the source signals are sub-Gaussian with negative kurtosis. In the special case, for sub-Gaussian signals, where p = 1 and q = 1/2, we obtain the modi ed Sato algorithm with nonlinearity [1040, 1041, 1173, 944] 1 [y1 ] = y1 E{|y1 |2 } sign(y1 ). E{|y1 |} (5.22)

(continued)

In Figure 23.11, the 3D Mesh is five vertices wide and three vertices high as you look at it in plan view. However, you don t have to specify the vertices in the same direction. For the 3D Mesh in the figure, I started at the bottom left, continued to move up for (0,1) and (0,2), then moved to the right. However, you could start at the bottom left and move to the right for (0,1) and (0,2), and then go back to the left either above or below (0,0) resulting in a 3D Mesh that is three vertices wide and five vertices high as you look at it in plan view. In other words, M and N can be in any direction.

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Compute the theoretical MSE of LMS using this alternative expression and compare it with the simulated and theoretical results of parts (c) and (d).

An agent interface consists of three components:

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