Algorithms in C
Learning hard concepts through constructive induction: framework and rationale
Computational Intelligence
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
Control-Sensitive Feature Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
Artificial Intelligence Review - Special issue on lazy learning
Multidimensional binary search trees used for associative searching
Communications of the ACM
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF
Applied Intelligence
Use of Contextual Information for Feature Ranking and Discretization
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
A Practical Approach to Feature Selection
ML '92 Proceedings of the Ninth International Workshop on Machine Learning
An adaptation of Relief for attribute estimation in regression
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Efficient Locally Weighted Polynomial Regression Predictions
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Attribute Dependencies, Understandability and Split Selection in Tree Based Models
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Learning a Local Similarity Metric for Case-Based Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
An Algroithm for Finding Best Matches in Logarithmic Expected Time
An Algroithm for Finding Best Matches in Logarithmic Expected Time
On biases in estimating multi-valued attributes
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Multiresolution instance-based learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Redundancy based feature selection for microarray data
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
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
Feature influence for evolutionary learning
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Feature Selection for Building Cost-Effective Data Stream Classifiers
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Quality assessment of individual classifications in machine learning and data mining
Knowledge and Information Systems
A case-based reasoning system for PCB principal process parameter identification
Expert Systems with Applications: An International Journal
A decision tree-based attribute weighting filter for naive Bayes
Knowledge-Based Systems
Evaluation of ordinal attributes at value level
Data Mining and Knowledge Discovery
Automatic web pages categorization with ReliefF and Hidden Naive Bayes
Proceedings of the 2007 ACM symposium on Applied computing
Artificial Intelligence in Medicine
Stability of feature selection algorithms: a study on high-dimensional spaces
Knowledge and Information Systems
Spectral feature selection for supervised and unsupervised learning
Proceedings of the 24th international conference on Machine learning
Direct integration of microarrays for selecting informative genes and phenotype classification
Information Sciences: an International Journal
Feature selection and classification model construction on type 2 diabetic patients' data
Artificial Intelligence in Medicine
Using genetic feature selection for improving cyber attack detection rate
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Stable feature selection via dense feature groups
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying biologically relevant genes via multiple heterogeneous data sources
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Memetic Algorithms for Feature Selection on Microarray Data
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Balancing Agility and Formalism in Software Engineering
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Ant Colony Optimization for Genome-Wide Genetic Analysis
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
LEARNING RANDOM NUMBERS: A MATLAB ANOMALY
Applied Artificial Intelligence
Biological pathways as features for microarray data classification
Proceedings of the 2nd international workshop on Data and text mining in bioinformatics
Automatic Web Page Classification Using Various Features
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Feature selection with dynamic mutual information
Pattern Recognition
Forecasting market prices in a supply chain game
Electronic Commerce Research and Applications
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Detecting Abnormal Events via Hierarchical Dirichlet Processes
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
The Impact of Gene Selection on Imbalanced Microarray Expression Data
BICoB '09 Proceedings of the 1st International Conference on Bioinformatics and Computational Biology
Parallel Selection of Informative Genes for Classification
BICoB '09 Proceedings of the 1st International Conference on Bioinformatics and Computational Biology
Searching for interacting features in subset selection
Intelligent Data Analysis
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Learning to recognize webpage genres
Information Processing and Management: an International Journal
Feature subset selection in large dimensionality domains
Pattern Recognition
Design of input vector for day-ahead price forecasting of electricity markets
Expert Systems with Applications: An International Journal
Ordinal Evaluation: A New Perspective on Country Images
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
A General Framework of Feature Selection for Text Categorization
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Trace ratio criterion for feature selection
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Searching for interacting features
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
OWA rough set model for forecasting the revenues growth rate of the electronic industry
Expert Systems with Applications: An International Journal
An optimization of ReliefF for classification in large datasets
Data & Knowledge Engineering
Classifying Web Pages by Genre: An n-Gram Approach
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
ReliefMSS: a variation on a feature ranking ReliefF algorithm
International Journal of Business Intelligence and Data Mining
Efficient feature weighting methods for ranking
Proceedings of the 18th ACM conference on Information and knowledge management
Feature selection with biased sample distributions
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Pigmented Skin Lesions Classification Using Dermatoscopic Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Feature Selection for Gene Expression Using Model-Based Entropy
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Selecting discrete and continuous features based on neighborhood decision error minimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Reducing the number of DNA primers for classifying pejibaye palm races using SVM
E-ACTIVITIES'09/ISP'09 Proceedings of the 8th WSEAS International Conference on E-Activities and information security and privacy
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications
International Journal of Approximate Reasoning
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination
The Journal of Machine Learning Research
Tuning ReliefF for genome-wide genetic analysis
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
An effective gene selection method based on relevance analysis and discernibility matrix
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Filter methods for feature selection: a comparative study
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
extraRelief: improving relief by efficient selection of instances
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Efficient feature selection in the presence of outliers and noises
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Extraction of informative genes from integrated microarray data
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Feature selection by nonparametric Bayes error minimization
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Generalized iterative RELIEF for supervised distance metric learning
Pattern Recognition
Feature Selection via Maximizing Fuzzy Dependency
Fundamenta Informaticae
LIBGS: A MATLAB software package for gene selection
International Journal of Data Mining and Bioinformatics
Towards a memetic feature selection paradigm
IEEE Computational Intelligence Magazine
Empirical evaluation of feature selection methods in classification
Intelligent Data Analysis
WSEAS Transactions on Computers
Robust relief-feature weighting, margin maximization, and fuzzy optimization
IEEE Transactions on Fuzzy Systems
Quadratic Programming Feature Selection
The Journal of Machine Learning Research
Selecting useful features for personal credit risk analysis
International Journal of Business Information Systems
Support feature machine for DNA microarray data
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Margin based sample weighting for stable feature selection
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Computers in Biology and Medicine
Expert Systems with Applications: An International Journal
Implementing ReliefF filters to extract meaningful features from genetic lifetime datasets
Journal of Biomedical Informatics
Expert Systems with Applications: An International Journal
Robust Feature Selection for Microarray Data Based on Multicriterion Fusion
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Correntropy based feature selection using binary projection
Pattern Recognition
Constrained laplacian score for semi-supervised feature selection
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Expert Systems with Applications: An International Journal
Research on CBR system based on data mining
Applied Soft Computing
Benefits and barriers of user evaluation in software engineering research
Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications
Image processing and machine learning for fully automated probabilistic evaluation of medical images
Computer Methods and Programs in Biomedicine
Software fault localization using feature selection
Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering
Stable Gene Selection from Microarray Data via Sample Weighting
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Exploiting expert knowledge in genetic programming for genome-wide genetic analysis
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Using kNN model for automatic feature selection
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
DClusterE: A Framework for Evaluating and Understanding Document Clustering Using Visualization
ACM Transactions on Intelligent Systems and Technology (TIST)
Selection of effective features for ECG beat recognition based on nonlinear correlations
Artificial Intelligence in Medicine
Fuzzy criteria for feature selection
Fuzzy Sets and Systems
Feature subset selection with cumulate conditional mutual information minimization
Expert Systems with Applications: An International Journal
EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Machine learning for query formulation in question answering
Natural Language Engineering
Feature selection algorithm for data with both nominal and continuous features
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Derivation of an artificial gene to improve classification accuracy upon gene selection
Computational Biology and Chemistry
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Improving example selection for agents teaching ontology concepts
CIA'06 Proceedings of the 10th international conference on Cooperative Information Agents
Feature selection based on run covering
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Energy-based feature selection and its ensemble version
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
A minority class feature selection method
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Feature evaluation and selection with cooperative game theory
Pattern Recognition
Feature selection for dimensionality reduction
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Computer---Aided diagnosis of pigmented skin dermoscopic images
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Feature selection using structural similarity
Information Sciences: an International Journal
Artificial Intelligence Review
Large-margin feature selection for monotonic classification
Knowledge-Based Systems
Feature selection for MAUC-oriented classification systems
Neurocomputing
Analyzing Online Review Helpfulness Using a Regressional ReliefF-Enhanced Text Mining Method
ACM Transactions on Management Information Systems (TMIS)
Improving the ranking quality of medical image retrieval using a genetic feature selection method
Decision Support Systems
A RELIEF-based modality weighting approach for multimodal information retrieval
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Evolutionary feature selection for classification: a plug-in hybrid vehicle adoption application
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A human study of patch maintainability
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Model mining for robust feature selection
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
An adaption of relief for redundant feature elimination
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Memetic three-dimensional gabor feature extraction for hyperspectral imagery classification
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
A variance reduction framework for stable feature selection
Statistical Analysis and Data Mining
Using data mining to enable integration of wind resources on the power grid
Statistical Analysis and Data Mining
Divergence-based feature selection for separate classes
Neurocomputing
Machine learning methods to forecast temperature in buildings
Expert Systems with Applications: An International Journal
Feature selection using dynamic weights for classification
Knowledge-Based Systems
Explaining subgroups through ontologies
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Hypergraph spectra for semi-supervised feature selection
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Massively parallel feature selection: an approach based on variance preservation
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
International Journal of Data Mining and Bioinformatics
A novel divide-and-merge classification for high dimensional datasets
Computational Biology and Chemistry
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
GARF: towards self-optimised random forests
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Feature selection for electricity load prediction
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
RFS: Efficient feature selection method based on R-value
Computers in Biology and Medicine
A scalable approach to simultaneous evolutionary instance and feature selection
Information Sciences: an International Journal
Minimum-maximum local structure information for feature selection
Pattern Recognition Letters
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach
Electronic Notes in Theoretical Computer Science (ENTCS)
Power and Performance Management of GPUs Based Cluster
International Journal of Cloud Applications and Computing
Self-adaptive differential evolution for feature selection in hyperspectral image data
Applied Soft Computing
Unsupervised Feature Selection with Feature Clustering
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Selection of interdependent genes via dynamic relevance analysis for cancer diagnosis
Journal of Biomedical Informatics
Large Margin Subspace Learning for feature selection
Pattern Recognition
G-Optimal Feature Selection with Laplacian regularization
Neurocomputing
Machine learning based typology development in archaeology
Journal on Computing and Cultural Heritage (JOCCH)
Spatial distance join based feature selection
Engineering Applications of Artificial Intelligence
A new matching strategy for content based image retrieval system
Applied Soft Computing
A feature subset selection algorithm automatic recommendation method
Journal of Artificial Intelligence Research
Learning attribute weighted AODE for ROC area ranking
International Journal of Information and Communication Technology
Learning dependence from samples
International Journal of Bioinformatics Research and Applications
A random forest classifier for lymph diseases
Computer Methods and Programs in Biomedicine
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Relief algorithms are general and successful attribute estimators. They are able to detect conditional dependencies between attributes and provide a unified view on the attribute estimation in regression and classification. In addition, their quality estimates have a natural interpretation. While they have commonly been viewed as feature subset selection methods that are applied in prepossessing step before a model is learned, they have actually been used successfully in a variety of settings, e.g., to select splits or to guide constructive induction in the building phase of decision or regression tree learning, as the attribute weighting method and also in the inductive logic programming.A broad spectrum of successful uses calls for especially careful investigation of various features Relief algorithms have. In this paper we theoretically and empirically investigate and discuss how and why they work, their theoretical and practical properties, their parameters, what kind of dependencies they detect, how do they scale up to large number of examples and features, how to sample data for them, how robust are they regarding the noise, how irrelevant and redundant attributes influence their output and how different metrics influences them.