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 15.1, Problem 15.1CP
Here is the first line of a class declaration. What is the name of the base class? class Truck : public Vehicle.
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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 15 Solutions
Starting Out with C++ from Control Structures to Objects (9th Edition)
Ch. 15.1 - Here is the first line of a class declaration....Ch. 15.1 - What is the name of the derived class in the...Ch. 15.1 - Suppose a program has the following class...Ch. 15.2 - What is the difference between private members and...Ch. 15.2 - What is the difference between member access...Ch. 15.2 - Suppose a program has the following class...Ch. 15.3 - What will the following program display? #include...Ch. 15.3 - What will the following program display? #include...Ch. 15.7 - Explain the difference between overloading a...Ch. 15.7 - Prob. 15.10CP
Ch. 15.7 - Prob. 15.11CPCh. 15.7 - What will the following program display? #include...Ch. 15.7 - What will the following program display? #include...Ch. 15.7 - What will the following program display? #include...Ch. 15.7 - What will the following program display? #include...Ch. 15.8 - Does the following diagram depict multiple...Ch. 15.8 - Does the following diagram depict multiple...Ch. 15.8 - Examine the following classes. The table lists the...Ch. 15.8 - Examine the following class declarations: class...Ch. 15 - What is an is a relationship?Ch. 15 - A program uses two classes: Dog and Poodle. Which...Ch. 15 - How does base class access specification differ...Ch. 15 - What is the difference between a protected class...Ch. 15 - Can a derived class ever directly access the...Ch. 15 - Which constructor is called first, that of the...Ch. 15 - What is the difference between redefining a base...Ch. 15 - Prob. 8RQECh. 15 - What is an abstract base class?Ch. 15 - A program has a class Potato, which is derived...Ch. 15 - What base class is named in the line below?class...Ch. 15 - What derived class is named in the line below?...Ch. 15 - What is the class access specification of the base...Ch. 15 - What is the class access specification of the base...Ch. 15 - Protected members of a base class are like...Ch. 15 - Complete the table on the next page by filling in...Ch. 15 - Complete the table below by filling in private,...Ch. 15 - Complete the table below by filling in private,...Ch. 15 - A derived class inherits the ________ of its base...Ch. 15 - When both a base class and a derived class have...Ch. 15 - An overridden base class function may be called by...Ch. 15 - When a derived class redefines a function in a...Ch. 15 - A(n) __________ member function in a base class...Ch. 15 - ________ binding is when the compiler binds member...Ch. 15 - __________ binding is when a function call is...Ch. 15 - _________ is when member functions in a class...Ch. 15 - When a pointer to a base class is made to point to...Ch. 15 - A(n) __________ class cannot be instantiated.Ch. 15 - A(n) _______ function has no body, or definition,...Ch. 15 - A(n) _________ of inheritance is where one class...Ch. 15 - _______ is where a derived class has two or more...Ch. 15 - In multiple inheritance, the derived class should...Ch. 15 - Write the first line of the declaration for a...Ch. 15 - Write the first line of the declaration for a...Ch. 15 - Suppose a class named Tiger is derived from both...Ch. 15 - Write the declaration for class B. The classs...Ch. 15 - T F The base classs access specification affects...Ch. 15 - T F The base classs access specification affects...Ch. 15 - T F Private members of a private base class become...Ch. 15 - T F Public members of a private base class become...Ch. 15 - T F Protected members of a private base class...Ch. 15 - T F Public members of a protected base class...Ch. 15 - T F Private members of a protected base class...Ch. 15 - T F Protected members of a public base class...Ch. 15 - T F The base class constructor is called after the...Ch. 15 - T F The base class destructor is called after the...Ch. 15 - T F It isnt possible for a base class to have more...Ch. 15 - T F Arguments are passed to the base class...Ch. 15 - T F A member function of a derived class may not...Ch. 15 - Prob. 51RQECh. 15 - T F A base class may not be derived from another...Ch. 15 - class Car, public Vehicle { public: Car(); Car();...Ch. 15 - class Truck, public : Vehicle, protected {...Ch. 15 - class SnowMobile : Vehicle { protected: int...Ch. 15 - class Table : public Furniture { protected: int...Ch. 15 - class Tank : public Cylinder { private: int...Ch. 15 - class Three : public Two : public One { protected:...Ch. 15 - Employee and ProductionWorker Classes Design a...Ch. 15 - ShiftSupervisor Class In a particular factory, a...Ch. 15 - TeamLeader Class In a particular factory, a team...Ch. 15 - Prob. 4PCCh. 15 - Time Clock Design a class named TimeClock. The...Ch. 15 - Essay Class Design an Essay class that is derived...Ch. 15 - PersonData and CustoraerData Classes Design a...Ch. 15 - PreferredCustomer Class A retail store has a...Ch. 15 - File Filter A file filter reads an input file,...Ch. 15 - File Double-Spacer Create a derived class of the...Ch. 15 - Course Grades In a course, a teacher gives the...Ch. 15 - Ship. CruiseShip, and CargoShip Classes Design a...Ch. 15 - Pure Abstract Base Class Project Define a pure...Ch. 15 - Prob. 14PC
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- 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
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