Microsoft Visual C#
7th Edition
ISBN: 9781337102100
Author: Joyce, Farrell.
Publisher: Cengage Learning,
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Chapter 9, Problem 8E
Program Plan Intro
Program plan: -
- Use the packages and define the namespaceConferenceApplication.
- Define the class ConferencesDemo, inside the class define the main method.
- Create an instance of 5 Conference objects.
- Use the loop to read the 5 Conference objects in the list.
- Call the Sort method to sort the list.
- Use the loop to print sorted conference by number of attendees.
- Define the namespace ConferenceApplication .
- Define the class Conference and implement the interface IComparable .
- Declare the variables as per the requirement.
- Define the parameterized constructor to initialize the variables.
- Use the property to implement the getters and setters.
- Override CompareTomethod .
- Create the object and compare the number of attendees in each group.
- Define the display() method to display the values.
Program description: -
The main purpose of the program named “ ConferenceDemo ” is to enter the data of five Conference objects and then display them in order of smallest to largest. The conference class consists of data members group name, starting date, and the number of attendees. Also, include theIComparable.CompareTo () method to sort the Conference objects.
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Here are two diagrams. Make them very explicit, similar to Example Diagram 3 (the Architecture of MSCTNN).
graph LR subgraph Teacher_Model_B [Teacher Model (Pretrained)] Input_Teacher_B[Input C (Complete Data)] --> Teacher_Encoder_B[Transformer Encoder T] Teacher_Encoder_B --> Teacher_Prediction_B[Teacher Prediction y_T] Teacher_Encoder_B --> Teacher_Features_B[Internal Features F_T] end subgraph Student_B_Model [Student Model B (Handles Missing Labels)] Input_Student_B[Input C (Complete Data)] --> Student_B_Encoder[Transformer Encoder E_B] Student_B_Encoder --> Student_B_Prediction[Student B Prediction y_B] end subgraph Knowledge_Distillation_B [Knowledge Distillation (Student B)] Teacher_Prediction_B -- Logits Distillation Loss (L_logits_B) --> Total_Loss_B Teacher_Features_B -- Feature Alignment Loss (L_feature_B) --> Total_Loss_B Partial_Labels_B[Partial Labels y_p] -- Prediction Loss (L_pred_B) --> Total_Loss_B Total_Loss_B -- Backpropagation -->…
Please provide me with the output image of both of them . below are the diagrams code
I have two diagram :
first diagram code
graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…
Chapter 9 Solutions
Microsoft Visual C#
Ch. 9 - Assume that you have created a class named...Ch. 9 - Prob. 9RQCh. 9 - Assume that you have created a class named...Ch. 9 - Create an application named SalesTransactionDemo...Ch. 9 - Create an application named CarDemo that declares...Ch. 9 - Create a program named SalesTaxDemo that declares...Ch. 9 - Prob. 8ECh. 9 - Write a program named DemoJobs for Harolds Home...Ch. 9 - a. Write a FractionDemo program that instantiates...Ch. 9 - Prob. 1DE
Knowledge Booster
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