Instance-Based Learning Algorithms
Machine Learning
Elements of information theory
Elements of information theory
A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
Theoretical Computer Science
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Adaptive Intrusion Detection: A Data Mining Approach
Artificial Intelligence Review - Issues on the application of data mining
Unsupervised Feature Selection Using Feature Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Input Feature Selection by Mutual Information Based on Parzen Window
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature selection for high-dimensional genomic microarray data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Efficient content-based image retrieval using automatic feature selection
ISCV '95 Proceedings of the International Symposium on Computer Vision
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
An introduction to variable and feature selection
The Journal of Machine Learning Research
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Selective Sampling for Nearest Neighbor Classifiers
Machine Learning
Consistency-based search in feature selection
Artificial Intelligence
Fast Branch & Bound Algorithms for Optimal Feature Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Selection for Unsupervised Learning
The Journal of Machine Learning Research
Feature selection with conditional mutual information maximin in text categorization
Proceedings of the thirteenth ACM international conference on Information and knowledge management
A selective sampling approach to active feature selection
Artificial Intelligence
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Fast Binary Feature Selection with Conditional Mutual Information
The Journal of Machine Learning Research
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Dependency and Correlation Analysis for Features
IEEE Transactions on Knowledge and Data Engineering
Combined SVM-Based Feature Selection and Classification
Machine Learning
A fast and effective method to find correlations among attributes in databases
Data Mining and Knowledge Discovery
A Stochastic Algorithm for Feature Selection in Pattern Recognition
The Journal of Machine Learning Research
Spectral feature selection for supervised and unsupervised learning
Proceedings of the 24th international conference on Machine learning
A hybrid genetic algorithm for feature selection wrapper based on mutual information
Pattern Recognition Letters
Feature selection methods for text classification
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Active learning for logistic regression: an evaluation
Machine Learning
A new mutual information based measure for feature selection
Intelligent Data Analysis
A review of feature selection techniques in bioinformatics
Bioinformatics
A unified framework for semi-supervised dimensionality reduction
Pattern Recognition
Effective feature selection scheme using mutual information
Neurocomputing
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Using mutual information for selecting features in supervised neural net learning
IEEE Transactions on Neural Networks
Ensemble gene selection by grouping for microarray data classification
Journal of Biomedical Informatics
Bagging Constraint Score for feature selection with pairwise constraints
Pattern Recognition
Expert Systems with Applications: An International Journal
Ensemble gene selection for cancer classification
Pattern Recognition
Feature selection for Bayesian network classifiers using the MDL-FS score
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
Diagnose the mild cognitive impairment by constructing Bayesian network with missing data
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
BASSUM: A Bayesian semi-supervised method for classification feature selection
Pattern Recognition
Expert Systems with Applications: An International Journal
Estimating redundancy information of selected features in multi-dimensional pattern classification
Pattern Recognition Letters
Correntropy based feature selection using binary projection
Pattern Recognition
Information Sciences: an International Journal
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Feature subset selection wrapper based on mutual information and rough sets
Expert Systems with Applications: An International Journal
An effective feature selection method using dynamic information criterion
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Expert Systems with Applications: An International Journal
Feature selection using hierarchical feature clustering
Proceedings of the 20th ACM international conference on Information and knowledge management
Probability density estimation based on nonparametric local kernel regression
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Noisy data elimination using mutual k-nearest neighbor for classification mining
Journal of Systems and Software
Feature evaluation and selection with cooperative game theory
Pattern Recognition
Novel hybrid feature selection algorithms for diagnosing erythemato-squamous diseases
HIS'12 Proceedings of the First international conference on Health Information Science
An information theoretic approach for feature selection
Security and Communication Networks
A reduct derived from feature selection
Pattern Recognition Letters
Expert Systems: The Journal of Knowledge Engineering
Modeling spectral data based on mutual information and kernel extreme learning machines
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
A novel probabilistic feature selection method for text classification
Knowledge-Based Systems
Feature selection using dynamic weights for classification
Knowledge-Based Systems
Information-theoretic selection of high-dimensional spectral features for structural recognition
Computer Vision and Image Understanding
Feature Interaction Maximisation
Pattern Recognition Letters
Spatial distance join based feature selection
Engineering Applications of Artificial Intelligence
The impact of preprocessing on text classification
Information Processing and Management: an International Journal
Robust feature selection based on regularized brownboost loss
Knowledge-Based Systems
A novel feature selection method and its application
Journal of Intelligent Information Systems
Time-efficient estimation of conditional mutual information for variable selection in classification
Computational Statistics & Data Analysis
Hi-index | 0.01 |
Feature selection plays an important role in data mining and pattern recognition, especially for large scale data. During past years, various metrics have been proposed to measure the relevance between different features. Since mutual information is nonlinear and can effectively represent the dependencies of features, it is one of widely used measurements in feature selection. Just owing to these, many promising feature selection algorithms based on mutual information with different parameters have been developed. In this paper, at first a general criterion function about mutual information in feature selector is introduced, which can bring most information measurements in previous algorithms together. In traditional selectors, mutual information is estimated on the whole sampling space. This, however, cannot exactly represent the relevance among features. To cope with this problem, the second purpose of this paper is to propose a new feature selection algorithm based on dynamic mutual information, which is only estimated on unlabeled instances. To verify the effectiveness of our method, several experiments are carried out on sixteen UCI datasets using four typical classifiers. The experimental results indicate that our algorithm achieved better results than other methods in most cases.