相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Framework for the Ensemble of Feature Selection Methods
Maritza Mera-Gaona et al.
APPLIED SCIENCES-BASEL (2021)
Prediction of Chronic Kidney Disease-A Machine Learning Perspective
Pankaj Chittora et al.
IEEE ACCESS (2021)
Multivariable data imputation for the analysis of incomplete credit data
Qiujun Lan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Missing value imputation and data cleaning in untargeted food chemical safety assessment by LC-HRMS
Gregoire Delaporte et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)
A novel data condition and performance hybrid imputation method for energy efficient operations of marine systems
Michail Cheliotis et al.
OCEAN ENGINEERING (2019)
An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure
Liaqat Ali et al.
IEEE ACCESS (2019)
A comparison of data imputation methods using Bayesian compressive sensing and Empirical Mode Decomposition for environmental temperature data
D. Alexandra Williams et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2018)
Multiple Imputation: A Review of Practical and Theoretical Findings
Jared S. Murray
STATISTICAL SCIENCE (2018)
Handling of Missing Outcome Data in Acute Stroke Trials: Advantages of Multiple Imputation Using Baseline and Postbaseline Variables
Dashiell F. Young-Saver et al.
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES (2018)
Principled Approaches to Missing Data in Epidemiologic Studies
Neil J. Perkins et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2018)
Guidelines for conducting systematic mapping studies in software engineering: An update
Kai Petersen et al.
INFORMATION AND SOFTWARE TECHNOLOGY (2015)
Mutual information criterion for feature selection from incomplete data
Wenbin Qian et al.
NEUROCOMPUTING (2015)
Root mean square error (RMSE) or mean absolute error (MAE)? - Arguments against avoiding RMSE in the literature
T. Chai et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2014)
What Is Meant by Missing at Random?
Shaun Seaman et al.
STATISTICAL SCIENCE (2013)
Feature selection with missing data using mutual information estimators
Gauthier Doquire et al.
NEUROCOMPUTING (2012)
Multiple imputation by chained equations: what is it and how does it work?
Melissa J. Azur et al.
INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH (2011)
A conservative feature subset selection algorithm with missing data
Alex Aussem et al.
NEUROCOMPUTING (2010)
Multiple imputation in a large-scale complex survey: a practical guide
Y. He et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2010)
Impact of imputation of missing values on classification error for discrete data
Alireza Farhangfar et al.
PATTERN RECOGNITION (2008)
How many imputations are really needed? - Some practical clarifications of multiple imputation theory
John W. Graham et al.
PREVENTION SCIENCE (2007)
Using the outcome for imputation of missing predictor values was preferred
Karel G. M. Moons et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2006)
A comparison of imputation techniques for handling missing data
CM Musil et al.
WESTERN JOURNAL OF NURSING RESEARCH (2002)