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。Concept drift estimation with graphical models
Luigi Riso et al.
INFORMATION SCIENCES (2022)
Feature-specific mutual information variation for multi-label feature selection
Liang Hu et al.
INFORMATION SCIENCES (2022)
Text categorization: past and present
Ankita Dhar et al.
ARTIFICIAL INTELLIGENCE REVIEW (2021)
Distributed multi-label feature selection using individual mutual information measures
Jorge Gonzalez-Lopez et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Variable selection strategies and its importance in clinical prediction modelling
Mohammad Ziaul Islam Chowdhury et al.
FAMILY MEDICINE AND COMMUNITY HEALTH (2020)
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin
NATURE MACHINE INTELLIGENCE (2019)
High-dimensional Macroeconomic Forecasting and Variable Selection via Penalized Regression
Yoshimasa Uematsu et al.
Econometrics Journal (2018)
The curse(s) of dimensionality
Naomi Altman et al.
NATURE METHODS (2018)
A novel Chow-Liu algorithm and its application to gene differential analysis
Joe Suzuki
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2017)
Recent advances and emerging challenges of feature selection in the context of big data
V. Bolon-Canedo et al.
KNOWLEDGE-BASED SYSTEMS (2015)
High-Dimensional Graphical Model Search with thegRapHDRPackage
Gabriel C. G. Abreu et al.
Journal of Statistical Software (2015)
Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease
Athanasios Tsanas et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2014)
A review of feature selection methods based on mutual information
Jorge R. Vergara et al.
NEURAL COMPUTING & APPLICATIONS (2014)
Hybrid feature selection by combining filters and wrappers
Hui-Huang Hsu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
David Edwards et al.
BMC BIOINFORMATICS (2010)
Entropy coefficient of determination for generalized linear models
Nobuoki Eshima et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2010)
Normalized Mutual Information Feature Selection
Pablo. A. Estevez et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2009)
Building Predictive Models in R Using the caret Package
Max Kuhn
JOURNAL OF STATISTICAL SOFTWARE (2008)
Entropy correlation coefficient for measuring predictive power of generalized linear models
Nobuoki Eshima et al.
STATISTICS & PROBABILITY LETTERS (2007)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
Cross-validation and the estimation of conditional probability densities
P Hall et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2004)
Estimating mutual information -: art. no. 066138
A Kraskov et al.
PHYSICAL REVIEW E (2004)
The mutual information: Detecting and evaluating dependencies between variables
R Steuer et al.
BIOINFORMATICS (2002)
Input feature selection for classification problems
N Kwak et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)
分享论文
