http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Handbook of research on emerging trends and applications of machine learning
Chapter 1. Method to rank academic institutes by the sentiment analysis of their online reviews -- Chapter 2. Machine learning in higher education: predicting student attrition status using educational data mining -- Chapter 3. Machine learning optimization techniques for 3D IC physical design -- Chapter 4. A novel approach to kinect-based gesture recognition for HCI applications -- Chapter 5. A survey on precision treatment for humans using cognitive machine learning techniques -- Chapter 6. Text classification using self-structure extended multinomial naive bayes -- Chapter 7. Applications of machine learning for software management -- Chapter 8. Creating paraphrase identification corpus for Indian languages: opensource data set for paraphrase creation -- Chapter 9. Deep learning approaches for textual sentiment analysis -- Chapter 10. Deep learning for next-generation inventive wireless networks: issues, challenges, and future directions -- Chapter 11. Demystifying disease identification and diagnosis using machine learning classification algorithms: demystify medical data with machine learning algorithms -- Chapter 12. Evolution of data analytics in healthcare -- Chapter 13. Implementation of machine learning in network security -- Chapter 14.Information retrieval in conjunction with deep learning -- Chapter 15. Interactive game-based motor rehabilitation using hybrid sensor architecture -- Chapter 16. Leveraging natural language processing applications using machine learning: text summarization employing deep learning -- Chapter 17. Machine learning in 5G multimedia communications: open research challenges and applications -- Chapter 18. Machine learning in text analysis -- Chapter 19. Machine learning in the medical industry -- Chapter 20. Machine learning in video games -- Chapter 21. Multi-layer hybrid credit scoring model based on feature selection, ensemble learning, and ensemble classifier -- Chapter 22. Overview of machine learners in classifying of speech signals -- Chapter 23. Self-driving cars: role of machine learning -- Chapter 24. Sentiment analysis on social media: recent trends in machine learning -- Chapter 25. Social big data mining: a survey focused on sentiment analysis -- Chapter 26. Tool condition monitoring using artificial neural network models -- Chapter 27. Computer vision-based assistive technology for helping visually impaired and blind people using deep learning framework.
[edited by] Arun Solanki, Sandeep Kumar, and Anand Nayyar.
Includes bibliographical references and index.
Natural language processing (Computer science)
Advances in computational intelligence and robotics (ACIR) book series