Methodologies and applications of computational statistics for machine intelligence

✍ Scribed by Soumi Dutta (editor); Debabrata Samanta (editor); Raghavendra Rao Althar (editor); Sabyasachi Pramanik (editor)

Year: 2021
Tongue: English
Leaves: 303
Series: Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
Category: Library

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✦ Table of Contents

Methodologies and Applications of Computational Statistics for Machine Intelligence
Table of Contents
Detailed Table of Contents
Preface
Acknowledgment
1 Hybrid Feature Vector-Assisted Action Representation for Human Action Recognition Using Support Vector Machines
2 Unsupervised Summarization Approach With Computational Statistics of Microblog Data
3 Machine Intelligence of Pi From Geometrical Figures With Variable Parameters Using SCILab
4 Computational Statistics-Based Prediction Algorithms Using Machine Learning
5 Computational Statistics of Data Science for Secured Software Engineering
6 Quantitative and Visual Exploratory Data Analysis for Machine Intelligence
7 Continuous Autoregressive Moving Average Models: From Discrete AR to Lévy-Driven CARMA Models
8 A Computational Statistics Review for Low Complexity Clutter Cancellation for Passive Bi-Static Radar
9 Machine Intelligence-Based Trend Analysis of COVID-19 for Total Daily Confirmed Cases in Asia and Africa
10 Application of Machine Intelligence-Based Knowledge Graphs for Software Engineering
11 A Comprehensive Study on Artificial Intelligence and Robotics for Machine Intelligence
12 Innovation and Creativity for Data Mining Using Computational Statistics
Compilation of References
About the Contributors
Index

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