Тема: Using Shapley Value for Interpretive Artificial Intelligence based on Feature Interactions Graph
Закажите новую по вашим требованиям
Представленный материал является образцом учебного исследования, примером структуры и содержания учебного исследования по заявленной теме. Размещён исключительно в информационных и ознакомительных целях.
Workspay.ru оказывает информационные услуги по сбору, обработке и структурированию материалов в соответствии с требованиями заказчика.
Размещение материала не означает публикацию произведения впервые и не предполагает передачу исключительных авторских прав третьим лицам.
Материал не предназначен для дословной сдачи в образовательные организации и требует самостоятельной переработки с соблюдением законодательства Российской Федерации об авторском праве и принципов академической добросовестности.
Авторские права на исходные материалы принадлежат их законным правообладателям. В случае возникновения вопросов, связанных с размещённым материалом, просим направить обращение через форму обратной связи.
📋 Содержание
Introduction 4
Background 4
Aims and objectives of work 8
Structure 11
1 ANN Models and Cancer Detection 12
1.1 Artificial Neurons 12
1.2 Basic Elements of Artificial Neural Networks 14
1.3 Mathematical principles for training phase 16
1.4 Anomaly Detection with ANN model 20
2 Interpretive artificial intelligence for AI models with high-dimensional
input 23
2.1 Shapley Value in Game Theory 24
2.2 Sampling Shapley Approach 26
2.3 Sampling based on Weighted Graphs 30
2.3.1 Pearson correlation coefficient 31
2.3.2 Biased Random Path Searching Method 33
2.3.3 Convergence Measurements 35
2.4 Summary of Sampling Method based on Weighted Graphs ... 37
3 Results and Analysis 39
3.1 Dataset description 39
3.2 Simulation Results for Sampling method based on Graph .... 40
3.3 Comparison with Original sampling method 43
3.4 Validation of Interpretation Results 50
4 Conclusion and Future works 51
4.1 Conclusion 51
4.2 Acknowledgment 53
References 55
📖 Введение
✅ Заключение
Professor Pertrosyan Ovanes, my supervisor, is the first person I desire to thank. Throughout the course of my research, he has assisted and guided me with patience and consideration. Not only did he provide me with valuable advice and direction, but he also improved my understanding of the pertinent knowledge and skills. His knowledge and experience have inspired my future studies and research and had a profound impact on me.
Second, I’d like to thank my mentor, Zou Jinying, whose guidance and direction in academic research, as well as his care and assistance in daily life, have made me feel like a member of a large family. With his assistance, I have gained many research skills and had many experiences I never anticipated I would have.
In addition, I would like to thank my family. I’ve always been determined to advance because of their consistent encouragement and support. Their selfless care and unwavering support give me the strength to move forward. I would like to express my heartfelt appreciation to my girlfriend, who has been an unwa¬vering source of support and encouragement throughout my academic journey. Her selfless love and understanding have helped me overcome writing slumps and navigate the challenges of pursuing higher education. Without her con¬stant support, I would not have had the motivation to keep moving forward. I am grateful for her presence in my life and will always cherish her unwavering
support.
Finally, I would like to express my gratitude to everyone who assisted and supported me during my research for this paper.





