Computational intelligence for missing data imputation, estimation and management knowledge optimization techniques
Título:
Computational intelligence for missing data imputation, estimation and management knowledge optimization techniques
ISBN:
9781605663371
Autor personal:
PRODUCTION_INFO:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2009.
Descripción física:
electronic texts (xix, 306 p. : ill.) : digital files.
Contenido:
Introduction to Missing Data -- Estimation of Missing Data Using Neural Networks and Genetic Algorithms -- A Hybrid Approach to Missing Data: Bayesian Neural Networks, Principal Component Analysis and Genetic Algorithms -- Maximum Expectation Algorithms for Missing Data Estimation -- Missing Data Estimation Using Rough Sets -- Support Vector Regression for Missing Data Estimation -- Committee of Networks for Estimating Missing Data -- Online Approaches to Missing Data Estimation -- Missing Data Approaches to Classification -- Optimization Methods for Estimation of Missing Data -- Estimation of Missing Data Using Neural Networks and Decision Trees -- Control of Biomedical System Using Missing Data Approaches -- Emerging Missing Data Estimation Problems: Heteroskedasticity; Dynamic Programming and Impact of Missing Data -- About the Author -- Index.
Síntesis:
This book focuses on methods to estimate missing values given to observed data. Providing a defining body of research valuable to those involved in the field of study, this book presents current and new computational intelligence techniques that allow computers to learn the underlying structure of data.
Acceso electrónico:
Full Text Available From IGI Global 2009 Packages
Idioma:
Inglés