Twitter does allow the sending of private tweets, called personal messages, to anyone who follows your tweets
Indicate whether the statement is true or false
FALSE
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For a graph signal lying on an N-node directed ring graph, considering the weight matrix as the shift operator, answer the following:
(a) Write down the TV expression for the graph Fourier basis. (b) Identify and order the graph frequencies. (c) Compare your results with the conventional frequencies in the DFT.
Which of the following OSI layers performs error detection using a Frame Check Sequence?
A) Session B) Physical C) Transport D) Data Link
Case Based Critical ThinkingAs Katie's print department has grown, her team has taken on longer jobs that are more complex: they involve high-resolution image files with large file sizes, managing different versions of supplied artwork, and retouching considerations. For Katie, this has also meant that she must train her team to work effectively with high-resolution image-based projects. Katie has noticed that the server contains many old versions of client logos, and designers are confused as to which ones to use. Which of the following is Katie's best solution for the team?
A. Katie puts all the current logos on a CD, then gives a copy of the CD to each of her designers. B. Katie removes all logos from the server, and emails her staff the most current ones. C. Katie puts all the current logos in a separate folder on the server and explains that she will manage the folder. D. Katie puts all the current logos in an InDesign library file that all the designers can access and explains that she will manage the library.
Which decision tree is better, according to the MDL principle?
Consider the decision trees shown in Figure 4.3. Assume they are generated from a data set that contains 16 binary attributes and 3 classes, C1, C2, and C3. Compute the total description length of each decision tree according to the minimum description length principle. • The total description length of a tree is given by: Cost(tree, data) = Cost(tree) + Cost(data|tree). • Each internal node of the tree is encoded by the ID of the splitting attribute. If there are m attributes, the cost of encoding each attribute is log2 m bits. • Each leaf is encoded using the ID of the class it is associated with. If there are k classes, the cost of encoding a class is log2 k bits. • Cost(tree) is the cost of encoding all the nodes in the tree. To simplify the computation, you can assume that the total cost of the tree is obtained by adding up the costs of encoding each internal node and each leaf node. • Cost(data|tree) is encoded using the classification errors the tree com- mits on the training set. Each error is encoded by log2 n bits, where n is the total number of training instances.