Methodologies and applications of computational statistics for machine intelligence
by Althar, Raghavendra Rao Dutta, Soumi Pramanik, Sabyasachi Samanta, Debabrata
"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"--
Read More ↓Title Statements
- Full title :Methodologies and applications of computational statistics for machine intelligence / [edited by] Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, and Soumi Dutta.
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"--
Read More ↓Edition Statements
- Publication Date:2021
Publication Statements
- Publisher(s):IGI Global, Engineering Science Reference
- Place of Publication:Hershey, PA
- Language:eng
- Publication Date:2021
Notes
"Premier Reference Source" -- Cover.
The Physical Object
- Description:1 online resource (xxiii, 277 pages) : : illustrations (some color)
Edition Identifiers
- ISBN:9781799877035, 1799877035, 9781799877042, 1799877043
- DOI:10.4018/978-1-7998-7701-1
- oclc:on1248598461
- LC Classification:Q325.5
- Dewey Decimal:006.3/1
Table of 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 …
Read More ↓Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
Statistical learning and data science
Statistical learning and data science
Statistical learning and data science
Statistical learning and data science
Statistical learning and data science
Statistical learning and data science
Statistical learning and data science
Statistical learning and data science
Statistical learning and data science
Statistical learning and data science
Introduction to statistical machine learning
Rate & Review