Compute the gradients of the loss function with respect to the weights in the input and output layers.

1.       Suppose that you have the n distance graphs G1,…Gn in a document corpus. You create the union of all these distance graphs by taking the union of their nodes/edges and aggregating the weights of any parallel edges. (a) Discuss the relationship of the factorization of the adjacency matrix of this graph with word-context factorization models. (b) How would you change the factorization objective function to address the effect of wide variation in counts

2.       For each of the CBOW and skip-gram models, show the following: (a) Express the loss function only as a function of the inputs and weights, after eliminating the hidden layer variables. (b) Compute the gradients of the loss function with respect to the weights in the input and output layers.

find the cost of your paper

Suggest a modification of the binary search algorithm that emulates this strategy for a list of names.

1. Suppose that a list contains the values 20 44 48 55 62 66 74 88 93 99 at index positions 0 through 9. Trace the values of the variables….

Explain why insertion sort works well on partially sorted lists.

1. Which configuration of data in a list causes the smallest number of exchanges in a selection sort? Which configuration of data causes the largest number of exchanges? 2. Explain….

Draw a class diagram that shows the relationships among the classes in this new version of the system

Jack decides to rework the banking system, which already includes the classes BankView, Bank, SavingsAccount, and RestrictedSavingsAccount. He wants to add another class for checking accounts. He sees that savings….