Methodologies and applications of computational statistics for machine intelligence:
"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 enc...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2021.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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"-- |
| Beschreibung: | 23 PDFs (277 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799877035 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Methodologies and applications of computational statistics for machine intelligence |c Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, and Soumi Dutta, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2021. | |
| 300 | |a 23 PDFs (277 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "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"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 06/19/2021). | ||
| 650 | 0 | |a Machine learning |x Statistical methods. | |
| 650 | 7 | |a Machine learning |x Statistical methods. |2 fast | |
| 700 | 1 | |a Althar, Raghavendra Rao |d 1981- |e editor. | |
| 700 | 1 | |a Dutta, Soumi |d 1986- |e editor. | |
| 700 | 1 | |a Pramanik, Sabyasachi |d 1978- |e editor. | |
| 700 | 1 | |a Samanta, Debabrata |d 1987- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2021012381 | |
| 776 | 0 | 8 | |i Print version: |z 1799877019 |z 9781799877011 |w (DLC) 2021012381 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7701-1 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00265221 |
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| _version_ | 1804751463070564352 |
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| author2 | Althar, Raghavendra Rao 1981- Dutta, Soumi 1986- Pramanik, Sabyasachi 1978- Samanta, Debabrata 1987- |
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| 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. |
| ctrlnum | (CaBNVSL)slc00001572 (OCoLC)1257259986 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
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| discipline | Informatik |
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| id | ZDB-98-IGB-00265221 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:51:57Z |
| institution | BVB |
| isbn | 9781799877035 |
| language | English |
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| spelling | Methodologies and applications of computational statistics for machine intelligence Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, and Soumi Dutta, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2021. 23 PDFs (277 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. 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. Restricted to subscribers or individual electronic text purchasers. "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. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 06/19/2021). Machine learning Statistical methods. Machine learning Statistical methods. fast Althar, Raghavendra Rao 1981- editor. Dutta, Soumi 1986- editor. Pramanik, Sabyasachi 1978- editor. Samanta, Debabrata 1987- editor. IGI Global, publisher. (Original) (DLC)2021012381 Print version: 1799877019 9781799877011 (DLC) 2021012381 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7701-1 Volltext |
| spellingShingle | Methodologies and applications of computational statistics for machine intelligence 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. Machine learning Statistical methods. Machine learning Statistical methods. fast |
| title | Methodologies and applications of computational statistics for machine intelligence |
| title_auth | Methodologies and applications of computational statistics for machine intelligence |
| title_exact_search | Methodologies and applications of computational statistics for machine intelligence |
| title_full | Methodologies and applications of computational statistics for machine intelligence Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, and Soumi Dutta, editors. |
| title_fullStr | Methodologies and applications of computational statistics for machine intelligence Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, and Soumi Dutta, editors. |
| title_full_unstemmed | Methodologies and applications of computational statistics for machine intelligence Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, and Soumi Dutta, editors. |
| title_short | Methodologies and applications of computational statistics for machine intelligence |
| title_sort | methodologies and applications of computational statistics for machine intelligence |
| topic | Machine learning Statistical methods. Machine learning Statistical methods. fast |
| topic_facet | Machine learning Statistical methods. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7701-1 |
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