Handbook of Machine Learning for Computational Optimization : Applications and Case Studies (Hardcover)

Section A: Innovative Learning Methodologies. 1. Active Learning from Imbalanced Datasets. 2. Quantum Machine Learning. 3. Data Visualization. 4. Unsupervised Machine Learning for Networking. 5. Machine Learning Techniques for Software Reliability Prediction. 6. Machine Learning in Fault Detection and Prevention. 7. Machine Learning for Cyber security and Intrusion Detection. 8. Optimal Feature Selection Techniques. Section B: Machine Learning in Real Time Applications. 9. Predictive Image Quality Assessment. 10. Machine Learning in Bioinformatics. 11. Analysis of Biomedical Data Using Machine Learning. 12. Facial Recognition Using Machine Learning. 13. Leveraging Computer Vision Through Machine Learning. 14. Machine Learning for Optimal Business Process Management. 15. Machine Learning in Optimal Logistic Management. 16. Clustering Based Fraud Detection and Prevention.