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Methodologies and applications of computational statistics for machine intelligence / Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, and Soumi Dutta, editors.
- Format:
- Book
- Author/Creator:
- Samanta, Debabrata, 1987- author.
- Series:
- Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
- Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series
- Language:
- English
- Subjects (All):
- Machine learning--Statistical methods.
- Machine learning.
- Physical Description:
- 23 PDFs (277 pages)
- Place of Publication:
- Hershey, PA : IGI Global, [2021]
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "This book delves into computational statistics that focus on devising an efficient methodology to obtain quantitative solutions for problems that are devised quantitatively and brings together computational capability and statistical advanced thought processes to solve some of the problems encountered in the field"-- Provided by publisher.
- Contents:
- Chapter 1. Hybrid feature vector-assisted action representation for human action recognition using support vector machines
- Chapter 2. Unsupervised summarization approach with computational statistics of microblog data
- Chapter 3. Machine intelligence of pi from geometrical figures with variable parameters using SCILab
- Chapter 4. Computational statistics-based prediction algorithms using machine learning
- Chapter 5. Computational statistics of data science for secured software engineering
- Chapter 6. Quantitative and visual exploratory data analysis for machine intelligence
- Chapter 7. Continuous autoregressive moving average models: from discrete AR to lévy-driven CARMA models
- Chapter 8. A computational statistics review for low complexity clutter cancellation for passive bi-static radar
- Chapter 9. Machine intelligence-based trend analysis of COVID-19 for total daily confirmed cases in Asia and Africa
- Chapter 10. Application of machine intelligence-based knowledge graphs for software engineering
- Chapter 11. A comprehensive study on artificial intelligence and robotics for machine intelligence
- Chapter 12. Innovation and creativity for data mining using computational statistics.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 9781799877035
- OCLC:
- 1257077768
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