Big Java, Binder Ready Version: Early Objects
6th Edition
ISBN: 9781119056447
Author: Cay S. Horstmann
Publisher: WILEY
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Chapter 10, Problem 3PP
Program Plan Intro
Implementation of “MySequence”, and “SequenceDemo” class
Program plan:
- In a file “Sequence .java”,
- Create a package.
- Create an interface “Sequence”,
- Declare the method “next()”.
- Declare the Boolean method “hasNext()”.
- In a file “MySequence.java”,
- Create a package.
- Create a class “MySequence”,
- Declare the variable.
- Initialize the array variable with populations in the cities.
- Define the method “next()” to determine if the sequence has another value.
- Define the method “next()”,
- Initialize the variable.
- Increment the sequence by “1”.
- Return the value.
- In a file “LastDigitDistribution.java”,
- Create a package.
- Create a class “LastDigitDistribution”,
- Declare the array for counter.
- Define the constructor to set the counter array.
- Define the method “process()”,
- Execute loop if the sequence contains another value,
- Assign the value returned from “next()”.
- Compute last digit.
- Increment the last value in the array.
-
- Define the method “display()”,
- Create loop to execute for “10” times,
- Print the value.
- Create loop to execute for “10” times,
- Define the method “display()”,
- Execute loop if the sequence contains another value,
- In a file “SequenceDemo.java”,
- Create a package.
- Create a class “SequenceDemo”,
- Define the method “main()”
- Create object for “LastDigitDistribution”.
- Call the method “process()”.
- Call the method “display()”.
- Define the method “main()”
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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)…
I'm reposting my question again please make sure to avoid any copy paste from the previous answer because those answer did not satisfy or responded to the need that's why I'm asking again
The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models:
First Diagram (Student A - Missing Values):
Clearly illustrate the student training process.
Show how knowledge distillation happens between the teacher and Student A.
Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention).
Second Diagram (Student B - Missing Labels):
Similarly, detail the training process for Student B.
Clarify how knowledge distillation works between the teacher and Student B.
Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred.
Since these are two distinct challenges…
Chapter 10 Solutions
Big Java, Binder Ready Version: Early Objects
Ch. 10.1 -
Suppose you want to use the average method to...Ch. 10.1 - Prob. 2SCCh. 10.1 - Prob. 3SCCh. 10.1 -
What is wrong with this code?
Measurable meas =...Ch. 10.1 -
What is wrong with this code?
Measurable meas =...Ch. 10.2 -
Can you use a cast (BankAccount) meas to convert...Ch. 10.2 - Prob. 7SCCh. 10.2 -
Why is it impossible to construct a Measurable...Ch. 10.2 -
Why can you nevertheless declare a variable whose...Ch. 10.2 -
What does this code fragment print? Why is this...
Ch. 10.3 - Prob. 11SCCh. 10.3 - Prob. 12SCCh. 10.3 - Prob. 13SCCh. 10.3 -
Write a method max that finds the larger of any...Ch. 10.3 -
Write a call to the method of Self Check 14 that...Ch. 10.4 -
Suppose you want to use the average method of...Ch. 10.4 - Prob. 17SCCh. 10.4 - Prob. 18SCCh. 10.4 - Write a method max with three arguments that finds...Ch. 10.4 - Write a call to the method of Self Check 19 that...Ch. 10.5 - Why would you use an inner class instead of a...Ch. 10.5 - When would you place an inner class inside a class...Ch. 10.5 - How many class files are produced when you compile...Ch. 10.6 - Why is it necessary that the real class and the...Ch. 10.6 - Why is the technique of mock objects particularly...Ch. 10.7 - Prob. 26SCCh. 10.7 - Prob. 27SCCh. 10.7 - Prob. 28SCCh. 10.7 - Prob. 29SCCh. 10.7 - If an inner class accesses a local variable from a...Ch. 10.8 - Prob. 31SCCh. 10.8 - Prob. 32SCCh. 10.9 - Prob. 33SCCh. 10.9 - Prob. 34SCCh. 10.10 - Prob. 35SCCh. 10.10 - Why must the MousePressListener class supply five...Ch. 10 - Prob. 1RECh. 10 - Prob. 2RECh. 10 - Prob. 3RECh. 10 - Prob. 4RECh. 10 - Prob. 5RECh. 10 - The classes Rectangle2D.Double, Ellipse2D.Double,...Ch. 10 - Suppose r contains a reference to a new...Ch. 10 - Classes such as Rectangle2D. Double,...Ch. 10 - Prob. 9RECh. 10 - What happens if you try to use an array of String...Ch. 10 - Prob. 11RECh. 10 - What happens if you pass an array of strings and...Ch. 10 - Consider this top-level and inner class. Which...Ch. 10 - What happens when an inner class tries to access a...Ch. 10 - Prob. 15RECh. 10 - Prob. 16RECh. 10 - Prob. 17RECh. 10 - What is the difference between an ActionEvent and...Ch. 10 - Prob. 19RECh. 10 - Prob. 20RECh. 10 - Prob. 21RECh. 10 - Prob. 22RECh. 10 - Prob. 23RECh. 10 - Prob. 24RECh. 10 - Add a method
public static Measurable...Ch. 10 - Prob. 2PECh. 10 - A person has a name and a height in centimeters....Ch. 10 - Add static methods largest and smallest to the...Ch. 10 - In the Sequence interface of Worked Example 10.1,...Ch. 10 - In Worked Example 10.1, add a default...Ch. 10 - In Worked Example 10.1, make the process method a...Ch. 10 - Add a method to the Data class that returns the...Ch. 10 - Prob. 9PECh. 10 - Modify the Coin class from Chapter 8 to have it...Ch. 10 - Repeat Exercise E10.9, making the Measurer into an...Ch. 10 - Repeat Exercise E10.9, making the Measurer an...Ch. 10 - Implement a class Bag that stores items...Ch. 10 - Prob. 14PECh. 10 - Reimplement Exercise E10.14 where the grid is...Ch. 10 - Prob. 16PECh. 10 - Enhance the ButtonViewer program so that it prints...Ch. 10 - Prob. 18PECh. 10 - Prob. 19PECh. 10 - Prob. 20PECh. 10 - Prob. 21PECh. 10 - Prob. 22PECh. 10 - Prob. 23PECh. 10 - Reimplement the program in Section 10.7.2,...Ch. 10 - Prob. 25PECh. 10 - Prob. 26PECh. 10 - Prob. 27PECh. 10 - Prob. 28PECh. 10 - Prob. 29PECh. 10 - Prob. 30PECh. 10 - Prob. 1PPCh. 10 - Write a class PrimeSequence that implements the...Ch. 10 - Prob. 3PPCh. 10 - Prob. 4PPCh. 10 - Prob. 5PPCh. 10 - Prob. 6PPCh. 10 - Prob. 7PPCh. 10 - Prob. 8PPCh. 10 - Prob. 9PPCh. 10 - Prob. 10PPCh. 10 - Prob. 11PPCh. 10 - Prob. 12PPCh. 10 - Prob. 13PPCh. 10 - Prob. 14PPCh. 10 - Prob. 15PPCh. 10 - Prob. 16PPCh. 10 - Prob. 17PPCh. 10 - Prob. 18PPCh. 10 - Prob. 19PPCh. 10 - Prob. 20PPCh. 10 - Prob. 21PPCh. 10 - Prob. 22PPCh. 10 - Prob. 23PPCh. 10 - Prob. 24PPCh. 10 - Prob. 25PPCh. 10 - Prob. 26PPCh. 10 - Prob. 27PP
Knowledge Booster
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