Starting Out with C++ from Control Structures to Objects (9th Edition)
9th Edition
ISBN: 9780134498379
Author: Tony Gaddis
Publisher: PEARSON
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Chapter 14, Problem 35RQE
An operator may be to work with a specific class.
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Need help with coding in this in python!
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…
Chapter 14 Solutions
Starting Out with C++ from Control Structures to Objects (9th Edition)
Ch. 14.2 - What is the difference between an instance member...Ch. 14.2 - Static member variables are declared inside the...Ch. 14.2 - Does a static member variable come into existence...Ch. 14.2 - What limitation does a static member function...Ch. 14.2 - What action is possible with a static member...Ch. 14.2 - If class X declares function f as a friend, does...Ch. 14.2 - Class Y is a friend of class X, which means the...Ch. 14.4 - Briefly describe what is meant by memberwise...Ch. 14.4 - Prob. 14.9CPCh. 14.4 - Prob. 14.10CP
Ch. 14.4 - When is a copy constructor called?Ch. 14.4 - How does the compiler know that a member function...Ch. 14.4 - What action is performed by a classs default copy...Ch. 14.5 - Assume there is a class named Pet. Write the...Ch. 14.5 - Assume dog and cat are instances of the Pet class,...Ch. 14.5 - What is the disadvantage of an overloaded =...Ch. 14.5 - Prob. 14.17CPCh. 14.5 - The this pointer is automatically passed to what...Ch. 14.5 - Assume there is a class named Animal that...Ch. 14.5 - Prob. 14.20CPCh. 14.5 - Describe the values that should be returned from...Ch. 14.5 - Prob. 14.22CPCh. 14.5 - What type of object should an overloaded operator...Ch. 14.5 - What type of object should an overloaded operator...Ch. 14.5 - If an overloaded or operator accesses a private...Ch. 14.5 - Prob. 14.26CPCh. 14.6 - When overloading a binary operator such as + or ...Ch. 14.6 - Explain why overloaded prefix and postfix ++ and ...Ch. 14.6 - Prob. 14.29CPCh. 14.6 - Write member functions of the FeetInches class...Ch. 14.8 - What are the benefits of having operator functions...Ch. 14.8 - Prob. 14.32CPCh. 14.8 - Assume there is a class named BlackBox. Write the...Ch. 14.8 - Assume there are two classes, Big and Small. The...Ch. 14 - Describe the difference between an instance member...Ch. 14 - Assume a class named Numbers has the following...Ch. 14 - A static member variable is declared in a class....Ch. 14 - Prob. 4RQECh. 14 - Why is it not always a good idea to make an entire...Ch. 14 - What is memberwise assignment?Ch. 14 - When is a copy constructor called?Ch. 14 - How can the compiler determine if a constructor is...Ch. 14 - Describe a situation where memberwise assignment...Ch. 14 - Why must the parameter of a copy constructor be a...Ch. 14 - What is a default copy constructor?Ch. 14 - Why would a programmer want to overload operators...Ch. 14 - What is passed to the parameter of a classs...Ch. 14 - Why shouldnt a classs overloaded = operator be...Ch. 14 - How does the compiler know whether an overloaded...Ch. 14 - Prob. 16RQECh. 14 - What type of value should be returned from an...Ch. 14 - The class Stuff has both a copy constructor and an...Ch. 14 - Explain the programming steps necessary to make a...Ch. 14 - Explain the programming steps necessary to make a...Ch. 14 - Consider the following class declaration: class...Ch. 14 - Describe the difference between making a class a...Ch. 14 - What is the purpose of a forward declaration of a...Ch. 14 - Explain why memberwise assignment can cause...Ch. 14 - Why is a classs copy constructor called when an...Ch. 14 - If a member variable is declared ______________,...Ch. 14 - Static member variables are defined __________ the...Ch. 14 - A(n) __________ member function cannot access any...Ch. 14 - A static member function may be called __________...Ch. 14 - A(n) __________ function is not a member of a...Ch. 14 - A(n) _________ tells the compiler that a specific...Ch. 14 - Prob. 32RQECh. 14 - A(n) _________ is a special constructor, called...Ch. 14 - is aspecial built-in pointer that is automatically...Ch. 14 - An operator may beto work with a specific class.Ch. 14 - When overloading the ________ operator, its...Ch. 14 - Making an instance of one class a member of...Ch. 14 - Object aggregation is useful for creating a(n)...Ch. 14 - Assume a class named Bird exists. Write the header...Ch. 14 - Assume a class named Dollars exists. Write the...Ch. 14 - Assume a class named Yen exists. Write the header...Ch. 14 - Assume n class named Length exists. Write the...Ch. 14 - Assume a class named Collection exists. Write the...Ch. 14 - T F Static member variables cannot be accessed by...Ch. 14 - T F Static member variables are defined outside...Ch. 14 - T F A static member function may refer to...Ch. 14 - T F When a function is declared a friend by a...Ch. 14 - T F A friend function has access to the private...Ch. 14 - T F An entire class may be declared a friend of...Ch. 14 - T F In order for a function or class to become a...Ch. 14 - T F If a class has a pointer as a member, its a...Ch. 14 - T F You cannot use the = operator to assign one...Ch. 14 - T F If a class doesnt have a copy constructor, the...Ch. 14 - T F If a class has a copy constructor, and an...Ch. 14 - T F The this pointer is passed to static member...Ch. 14 - T F All functions that overload unary operators...Ch. 14 - T F For an object to perform automatic type...Ch. 14 - T F It is possible to have an instance of one...Ch. 14 - class Box { private: double width; double length;...Ch. 14 - class Circle { private: double diameter; int...Ch. 14 - class Point { private: int xCoord; int yCoord;...Ch. 14 - class Box { private: double width; double length:...Ch. 14 - class Yard { private: float length; public:...Ch. 14 - Prob. 1PCCh. 14 - Day of the Year Assuming a year has 365 days,...Ch. 14 - Day of the Year Modification Modify the DayOfYear...Ch. 14 - NumDays Class Design a class called NumDays. The...Ch. 14 - Prob. 5PCCh. 14 - Personnel Report NOTE: This assignment assumes you...Ch. 14 - Month Class Design a class named Month. The class...Ch. 14 - Date Class Modification Modify the Date class in...Ch. 14 - Feetlnches Modification Modify the Feetlnches...Ch. 14 - Corporate Sales A corporation has six divisions,...Ch. 14 - FeetInches Class Copy Constructor and multiply...Ch. 14 - LandTract Class Make a LandTract class that is...Ch. 14 - Carpet Calculator The Westfield Carpet Company has...Ch. 14 - Parking Ticket Simulator For this assignment, you...Ch. 14 - Car Instrument Simulator For this assignment you...
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- Why I need ?arrow_forwardHere 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_forward
- 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…arrow_forwardThe 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_forward
- Here 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_forwardhere 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_forward
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