Computational intelligence for missing data imputation, estimation and management: knowledge optimization techniques
Book information
Description
In recent years, the issue of missing data imputation has been extensively explored in information engineering. Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques presents methods and technologies in estimation of missing values given the observed data. Providing a defining body of research valuable to those involved in the field of study, this book covers techniques such as radial basis functions, support vector machines, and principal component analysis.
Similar books
Enterprise Risk Management in the Fourth Industrial Revolution
2023 · PDF
Condition Monitoring Using Computational Intelligence Methods: Applications in Mechanical and Electrical Systems
2012 · PDF
Causality, Correlation And Artificial Intelligence For Rational Decision Making
2015 · PDF
Artificial Intelligence, Game Theory and Mechanism Design in Politics
2023 · PDF
Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering
2016 · EPUB
Hamiltonian Monte Carlo Methods in Machine Learning
2023 · PDF
Artificial Intelligence and International Relations Theories
2023 · PDF
On Rationality, Artificial Intelligence and Economics
2022 · PDF