High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection
Authors
Keywords
-
Journal
PATTERN RECOGNITION
Volume 131, Issue -, Pages 108895
Publisher
Elsevier BV
Online
2022-07-11
DOI
10.1016/j.patcog.2022.108895
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Orthogonal least squares based fast feature selection for linear classification
- (2021) Sikai Zhang et al. PATTERN RECOGNITION
- Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data
- (2020) Chong Peng et al. IEEE Transactions on Neural Networks and Learning Systems
- Efficient feature selection using shrinkage estimators
- (2019) Konstantinos Sechidis et al. MACHINE LEARNING
- Stopping rules for mutual information-based feature selection
- (2019) Jan Mielniczuk et al. NEUROCOMPUTING
- Simultaneous feature selection and discretization based on mutual information
- (2019) Sadia Sharmin et al. PATTERN RECOGNITION
- A new divergence measure for belief functions in D–S evidence theory for multisensor data fusion
- (2019) Fuyuan Xiao INFORMATION SCIENCES
- Multi-View Scaling Support Vector Machines for Classification and Feature Selection
- (2019) Jinglin Xu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Efficient Feature Selection via $l_{2,0}$ -norm Constrained Sparse Regression
- (2018) Tianji Pang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition
- (2017) Chao Yao et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Feature selection by optimizing a lower bound of conditional mutual information
- (2017) Hanyang Peng et al. INFORMATION SCIENCES
- Can high-order dependencies improve mutual information based feature selection?
- (2016) Nguyen Xuan Vinh et al. PATTERN RECOGNITION
- Feature selection using Joint Mutual Information Maximisation
- (2015) Mohamed Bennasar et al. EXPERT SYSTEMS WITH APPLICATIONS
- On the Feature Selection Criterion Based on an Approximation of Multidimensional Mutual Information
- (2010) Kiran S Balagani et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Normalized Mutual Information Feature Selection
- (2009) P.A. Estevez et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity
- (2008) Patrick Emmanuel Meyer et al. IEEE Journal of Selected Topics in Signal Processing
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started