Starting Out with C++: Early Objects
8th Edition
ISBN: 9780133360929
Author: Tony Gaddis, Judy Walters, Godfrey Muganda
Publisher: Addison-Wesley
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Chapter 8, Problem 19RQE
When a two -dimensional array is passed to a function, the number of _______ must be specified.
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In the diagram, there is a green arrow pointing from Input C (complete data) to Transformer Encoder S_B, which I don’t understand. The teacher model is trained on full data, but S_B should instead receive missing data—this arrow should not point there. Please verify and recreate the diagram to fix this issue. Additionally, the newly created diagram should meet the same clarity standards as the second diagram (Proposed MSCATN). Finally provide the output image of the diagram in image format .
Please provide me with the output image of both of them . below are the diagrams code
make sure to update the code and mentionned clearly each section also the digram should be clearly describe like in the attached image. please do not provide the same answer like in other question . I repost this question because it does not satisfy the requirment I need in terms of clarifty the output of both code are not very well details
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…
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Chapter 8 Solutions
Starting Out with C++: Early Objects
Ch. 8.3 - Define the following arrays: A) empNum, a 100...Ch. 8.3 - Prob. 8.2CPCh. 8.3 - Prob. 8.3CPCh. 8.3 - Prob. 8.4CPCh. 8.3 - What is array bounds checking? Does C++ perform...Ch. 8.3 - What is the output of the following code? int...Ch. 8.3 - Complete the following program skeleton so it will...Ch. 8.6 - Define the following arrays: A) ages, a 10-element...Ch. 8.6 - Indicate if each of the following array...Ch. 8.6 - Prob. 8.10CP
Ch. 8.6 - Given the following array definition: int values...Ch. 8.6 - Prob. 8.12CPCh. 8.6 - Prob. 8.13CPCh. 8.6 - What is the output of the following code? const...Ch. 8.8 - Write a typedef statement that makes the name...Ch. 8.8 - Prob. 8.16CPCh. 8.8 - What is the output of the following program...Ch. 8.8 - The following program segments, when completed,...Ch. 8.10 - Prob. 8.19CPCh. 8.10 - Prob. 8.20CPCh. 8.10 - Prob. 8.21CPCh. 8.10 - Prob. 8.22CPCh. 8.10 - Prob. 8.23CPCh. 8.10 - Fill in the empty table below so it shows the...Ch. 8.10 - Write a function called displayArray7. The...Ch. 8.10 - Prob. 8.26CPCh. 8.11 - Prob. 8.27CPCh. 8.11 - Write definition statements for the following...Ch. 8.11 - Define gators to be an empty vector of ints and...Ch. 8.12 - True or false: The default constructor is the only...Ch. 8.12 - True or false: All elements in an array of objects...Ch. 8.12 - What will the following program display on the...Ch. 8.12 - Complete the following program so that it defines...Ch. 8.12 - Add two constructors to the Product structure...Ch. 8.12 - Prob. 8.35CPCh. 8.12 - Prob. 8.36CPCh. 8.12 - Prob. 8.37CPCh. 8.12 - Write the definition for an array of five Product...Ch. 8.12 - Write a structure declaration called Measurement...Ch. 8.12 - Write a structure declaration called Destination ,...Ch. 8.12 - Define an array of 20 Destination structures (see...Ch. 8 - The ________ indicates the number of elements, or...Ch. 8 - The size declarator must be a(n) _______ with a...Ch. 8 - Prob. 3RQECh. 8 - Prob. 4RQECh. 8 - The number inside the brackets of an array...Ch. 8 - C++ has no array ________ checking, which means...Ch. 8 - Prob. 7RQECh. 8 - If a numeric array is partially initialized, the...Ch. 8 - If the size declarator of an array definition is...Ch. 8 - Prob. 10RQECh. 8 - Prob. 11RQECh. 8 - Prob. 12RQECh. 8 - Arrays are never passed to functions by _______...Ch. 8 - To pass an array to a function, pass the ________...Ch. 8 - A(n) ________ array is like several arrays of the...Ch. 8 - Its best to think of a two -dimensional array as...Ch. 8 - Prob. 17RQECh. 8 - Prob. 18RQECh. 8 - When a two -dimensional array is passed to a...Ch. 8 - Prob. 20RQECh. 8 - Look at the following array definition. int values...Ch. 8 - Given the following array definition: int values...Ch. 8 - Prob. 23RQECh. 8 - Assume that array1 and array2 are both 25-element...Ch. 8 - Prob. 25RQECh. 8 - How do you establish a parallel relationship...Ch. 8 - Look at the following array definition. double...Ch. 8 - Prob. 28RQECh. 8 - Prob. 29RQECh. 8 - Prob. 30RQECh. 8 - Prob. 31RQECh. 8 - The following code totals the values in each of...Ch. 8 - In a program you need to store the identification...Ch. 8 - Prob. 34RQECh. 8 - Prob. 35RQECh. 8 - Prob. 36RQECh. 8 - Prob. 37RQECh. 8 - Prob. 38RQECh. 8 - Each of the following functions contains errors....Ch. 8 - Soft Skills Diagrams are an important means of...Ch. 8 - Perfect Scores 1. Write a modular program that...Ch. 8 - Roman Numeral Converter Write a program that...Ch. 8 - Chips and Salsa Write a program that lets a maker...Ch. 8 - Monkey Business A local zoo wants to keep track of...Ch. 8 - Rain or Shine An amateur meteorologist wants to...Ch. 8 - Lottery Write a program that simulates a lottery....Ch. 8 - Rainfall Statistics Write a modular program that...Ch. 8 - Chips and Salsa Version 2 Revise Programming...Ch. 8 - Stats Class and Rainfall Statistics Create a Stats...Ch. 8 - Stats Class and Track Statistics Write a client...Ch. 8 - Prob. 11PCCh. 8 - Drivers License Exam The State Department of Motor...Ch. 8 - Array of Payro11 Objects Design a PayRoll class...Ch. 8 - Drink Machine Simulator Create a class that...Ch. 8 - Bin Manager Class Design and write an object...Ch. 8 - Tic-Tac-Toe Game Write a modular program that...Ch. 8 - Theater Ticket Sales Create a TicketManager class...
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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 -->…arrow_forwardPlease 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)…arrow_forwardI'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…arrow_forward
- 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 (missing values vs. missing labels), they should not be combined in the same diagram. Instead, create two separate diagrams for clarity. For reference, I will attach a second image…arrow_forwardNote : please avoid using AI answer the question by carefully reading it and provide a clear and concise solutionHere is a clear background and explanation of the full method, including what each part is doing and why. Background & Motivation Missing values: Some input features (sensor channels) are missing for some samples due to sensor failure or corruption. Missing labels: Not all samples have a ground-truth RUL value. For example, data collected during normal operation is often unlabeled. Most traditional deep learning models require complete data and full labels. But in our case, both are incomplete. If we try to train a model directly, it will either fail to learn properly or discard valuable data. What We Are Doing: Overview We solve this using a Teacher–Student knowledge distillation framework: We train a Teacher model on a clean and complete dataset where both inputs and labels are available. We then use that Teacher to teach two separate Student models: Student A learns…arrow_forwardHere is a clear background and explanation of the full method, including what each part is doing and why. Background & Motivation Missing values: Some input features (sensor channels) are missing for some samples due to sensor failure or corruption. Missing labels: Not all samples have a ground-truth RUL value. For example, data collected during normal operation is often unlabeled. Most traditional deep learning models require complete data and full labels. But in our case, both are incomplete. If we try to train a model directly, it will either fail to learn properly or discard valuable data. What We Are Doing: Overview We solve this using a Teacher–Student knowledge distillation framework: We train a Teacher model on a clean and complete dataset where both inputs and labels are available. We then use that Teacher to teach two separate Student models: Student A learns from incomplete input (some sensor values missing). Student B learns from incomplete labels (RUL labels missing…arrow_forward
- here is a diagram code : graph LR subgraph Inputs [Inputs] A[Input C (Complete Data)] --> TeacherModel B[Input M (Missing Data)] --> StudentA A --> StudentB end subgraph TeacherModel [Teacher Model (Pretrained)] C[Transformer Encoder T] --> D{Teacher Prediction y_t} C --> E[Internal Features f_t] end subgraph StudentA [Student Model A (Trainable - Handles Missing Input)] F[Transformer Encoder S_A] --> G{Student A Prediction y_s^A} B --> F end subgraph StudentB [Student Model B (Trainable - Handles Missing Labels)] H[Transformer Encoder S_B] --> I{Student B Prediction y_s^B} A --> H end subgraph GroundTruth [Ground Truth RUL (Partial Labels)] J[RUL Labels] end subgraph KnowledgeDistillationA [Knowledge Distillation Block for Student A] K[Prediction Distillation Loss (y_s^A vs y_t)] L[Feature Alignment Loss (f_s^A vs f_t)] D -- Prediction Guidance --> K E -- Feature Guidance --> L G --> K F --> L J -- Supervised Guidance (if available) --> G K…arrow_forwarddetails explanation and background We solve this using a Teacher–Student knowledge distillation framework: We train a Teacher model on a clean and complete dataset where both inputs and labels are available. We then use that Teacher to teach two separate Student models: Student A learns from incomplete input (some sensor values missing). Student B learns from incomplete labels (RUL labels missing for some samples). We use knowledge distillation to guide both students, even when labels are missing. Why We Use Two Students Student A handles Missing Input Features: It receives input with some features masked out. Since it cannot see the full input, we help it by transferring internal features (feature distillation) and predictions from the teacher. Student B handles Missing RUL Labels: It receives full input but does not always have a ground-truth RUL label. We guide it using the predictions of the teacher model (prediction distillation). Using two students allows each to specialize in…arrow_forwardWe are doing a custom JSTL custom tag to make display page to access a tag handler. Write two custom tags: 1) A single tag which prints a number (from 0-99) as words. Ex: <abc:numAsWords val="32"/> --> produces: thirty-two 2) A paired tag which puts the body in a DIV with our team colors. Ex: <abc:teamColors school="gophers" reverse="true"> <p>Big game today</p> <p>Bring your lucky hat</p> <-- these will be green text on blue background </abc:teamColors> Details: The attribute for numAsWords will be just val, from 0 to 99 - spelling, etc... isn't important here. Print "twenty-six" or "Twenty six" ... . Attributes for teamColors are: school, a "required" string, and reversed, a non-required boolean. - pick any four schools. I picked gophers, cyclones, hawkeyes and cornhuskers - each school has two colors. Pick whatever seems best. For oine I picked "cyclones" and red text on a gold body - if…arrow_forward
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