An Introduction to Variable and Feature Selection

No abstract is available for this paper.

• Publication year

  2003

• Venue

  Journal of machine learning research

• Publication date

  Unknown publication date

• Fields of study

  Chemistry, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Statistical Learning Theory

  2021influential reference
• Pattern Classification

  2012influential reference
• Learning Theory

  2004influential reference
• MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling

  2003influential reference
• Distributional Word Clusters vs. Words for Text Categorization

  2003influential reference
• Benefitting from the Variables that Variable Selection Discards

  2003cited by this paper
• Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space

  2003cited by this paper
• Ranking a Random Feature for Variable and Feature Selection

  2003cited by this paper
• Detecting stable clusters using principal component analysis.

  2003cited by this paper
• Overfitting in Making Comparisons Between Variable Selection Methods

  2003cited by this paper
• A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification

  2003cited by this paper
• MLPs ( MonoLayer Polynomials and Multi-Layer Perceptrons ) for Nonlinear Modeling

  2003cited by this paper
• An Extensive Empirical Study of Feature Selection Metrics for Text Classification

  2003influential reference
• Use of the Zero-Norm with Linear Models and Kernel Methods

  2003cited by this paper
• Variable Selection Using SVM-based Criteria

  2003influential reference
• The Elements of Statistical Learning

  2003cited by this paper
• Feature Extraction by Non-Parametric Mutual Information Maximization

  2003cited by this paper
• Sufficient Dimensionality Reduction

  2003influential reference
• Dimensionality Reduction via Sparse Support Vector Machines

  2003influential reference
• Adaptive Scaling for Feature Selection in SVMs

  2002cited by this paper
• Gene Selection for Cancer Classification using Support Vector Machines

  2002influential reference
• Bayesian Input Variable Selection Using Posterior Probabilities and Expected Utilities

  2002influential reference
• Convergence rates of the Voting Gibbs classifier, with application to Bayesian feature selection

  2001cited by this paper
• CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts

  2001cited by this paper
• Learning with Kernels: support vector machines, regularization, optimization, and beyond

  2001cited by this paper
• Support vector machine classification and validation of cancer tissue samples using microarray expression data

  2000cited by this paper
• Feature Selection for SVMs

  2000cited by this paper
• The information bottleneck method

  2000cited by this paper
• Withdrawing an example from the training set: An analytic estimation of its effect on a non-linear parameterised model

  2000cited by this paper
• Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.

  1999cited by this paper
• On the Approximability of Minimizing Nonzero Variables or Unsatisfied Relations in Linear Systems

  1998cited by this paper
• Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms

  1998cited by this paper
• On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples

  1998cited by this paper
• A New Metric-Based Approach to Model Selection

  1997cited by this paper
• Selection of Relevant Features and Examples in Machine Learning

  1997influential reference
• Wrappers for feature selection

  1997influential reference
• Toward Optimal Feature Selection

  1996cited by this paper
• A Practical Approach to Feature Selection

  1992influential reference
• A training algorithm for optimal margin classifiers

  1992cited by this paper
• Optimal Brain Damage

  1989influential reference
• Learning

  1965cited by this paper
• Journal of Machine Learning Research x (2003) xx–xx Submitted 5/02; Published xx/03 Extensions to Metric-Based Model Selection

  year unknowncited by this paper
• Uncertainty in Artificial Intelligence Proceedings 2000 Feature Selection and Dualities in Maximum Entropy Discrimination

  year unknowncited by this paper
• Série Scientifique Scientific Series Inference for the Generalization Error

  year unknowncited by this paper

• Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learning.

  2026cites this paper
• Ca-MCF: Category-level Multi-label Causal Feature selection

  2026cites this paper
• An Architecture-Feature-Enhanced Decision Framework for Deep Learning-Based Prediction of Extreme and Imbalanced Precipitation

  2026cites this paper
• Soil spectroscopy improves mid infrared soil property prediction through optimized preprocessing and variable selection

  2026cites this paper
• A method based on graph convolutional neural networks for predicting the computational intensity of geocomputation

  2026cites this paper
• Clastic Rock Lithology Identification Based on Multivariate Feature Enhancement and Dynamic Confidence-Weighted Ensemble

  2026cites this paper
• Multimodal learning for early prediction of COVID-19 outbreaks

  2026cites this paper
• Autoencoder-like structure with correntropy-induced metric for unsupervised feature selection

  2026cites this paper
• An interpretable model for real-time prediction of bottomhole flowing pressure in deviated wells: a hybrid GA-ANN approach

  2026cites this paper
• SaltySought: Machine Learning and Deep Neural Approaches for Identifying and Explaining Salty Peptides

  2026cites this paper
• A Hybrid Machine Learning Framework for Parkinson’s Disease Detection: Integrating Feature Selection, Dimensionality Reduction, and Ensemble Classification

  2026cites this paper
• Enhanced data-driven machine learning algorithms for predicting sonic logs in unconsolidated gas reservoirs, offshore Nile Delta, Egypt

  2026cites this paper
• Addressing the Coupled Optimization of Feature Selection and Hyperparameter Tuning Using a TPE-Driven XGBoost-RFE Framework

  2026cites this paper
• Multi-objective WOA based on dynamic multiple leader selection strategies for feature selection

  2026cites this paper
• A field study for damage localization with SP2E under varying environmental conditions

  2026cites this paper
• Passive IoT Device Fingerprinting With Polynomial Curve Fitting and Siamese Neural Networks

  2026cites this paper
• MAFS: Multi-head Attention Feature Selection for High-Dimensional Data via Deep Fusion of Filter Methods

  2026cites this paper
• Building Envelope Inversion by Data-driven Interpretation of Ground Penetrating Radar

  2026cites this paper
• Ultrashort echo time MRI radiomics as a predictor of clinical outcomes in patellar tendinopathy: Insights from a large prospective clinical trial.

  2026cites this paper
• Causal feature selection framework for stable soft sensor modeling based on time-delayed cross mapping

  2026cites this paper
• Predicting unsafe road sections using machine learning

  2026cites this paper
• Beyond Literacy: Predicting Interpretation Correctness of Visualizations with User Traits, Item Difficulty, and Rasch Scores

  2026cites this paper
• Metaheuristic-Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models

  2026cites this paper
• A hybrid feature extraction framework combining PCA and mutual information for gene expression based lung cancer classification

  2026cites this paper
• Prediction of musculoskeletal discomfort through integration of item response theory and machine learning

  2026cites this paper
• The impact of distinct rolling window sizes in automated cement evaluation through well-logging and machine learning methods

  2026cites this paper
• LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection

  2026cites this paper
• Metaheuristic Optimization of Random Forest for Lung Cancer Prediction

  2026cites this paper
• Advancing AI Trustworthiness Through Patient Simulation: Risk Assessment of Conversational Agents for Antidepressant Selection

  2026cites this paper
• Evaluating key environmental variables in dust occurrence through artificial intelligence methods

  2026cites this paper
• Machine learning-based approach for predicting the isobaric heat capacity of biodiesel

  2026cites this paper
• An interpretable deep learning framework for UHPC dry joint shear strength prediction under small sample regimes

  2026cites this paper
• The new frontier of customer understanding: Financial satisfaction and AutoML in banking

  2026cites this paper
• Architectural Selection Framework for Synthetic Network Traffic: Quantifying the Fidelity–Utility Trade-off

  2026cites this paper
• Hybrid evolutionary-optimized transmission matrix framework for multi-point focusing and image projection via multimode fibers

  2026cites this paper
• Real-Time Cr(VI) Concentration Monitoring in Chrome Plating Wastewater Using RGB Sensor and Machine Learning

  2026cites this paper
• Design and evaluation of a knowledge-based ECG noise filtering framework

  2026cites this paper
• Optimizing machine learning models with multi feature selection for EEG analysis in second language acquisition research

  2026cites this paper
• Linear independence properties of the signature components of time-augmented stochastic processes

  2026cites this paper
• A Novel MBPSO–BDGWO Ensemble Feature Selection Method for High-Dimensional Classification Data

  2026cites this paper
• Optimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning.

  2026cites this paper
• Newton downhill optimizer with application to engineering optimization and breast cancer feature selection

  2026cites this paper
• Selection of secondary features from multi-table data for classification

  2026cites this paper
• An intelligent phishing email detection system using ensemble methods and explainable AI

  2026cites this paper
• An Optimized Adaptive Feature Weighting Framework for Accurate Prediction of Cardiovascular Disease

  2026cites this paper
• Computational prioritization of multi-target inhibitors: explainable QSAR and docking-based discovery of dual AChE/BACE1 chemotypes

  2026cites this paper
• Circulating microRNAs as Biomarkers of Brain Metastases in Lung Cancer: A Pilot Study

  2026cites this paper
• Selection of the best artificial intelligence techniques for analysis of gastrointestinal endoscopic images.

  2026cites this paper
• Predictive Modeling of Cordycepin Content in Cordyceps militaris Using Machine Learning Based on Cultivation Conditions

  2026cites this paper
• Probabilistic learning of processing and waiting times: a scalable approach for process event log data

  2026cites this paper
• An explainable machine learning framework for identifying left bundle branch block mechanisms via vectorcardiographic features

  2026cites this paper
• Steel defect detection based on feature selection and ensemble technique

  2026cites this paper
• Maize yield estimation from Sentinel-2 multi-temporal imagery and CANbus data integration: a non-parametric regression approach

  2026cites this paper
• All you need is noise – from feature selection to explainable industrial AI

  2026cites this paper
• Particle swarm optimization: A survey of innovations over the last 10 years

  2026cites this paper
• A novel binary human mental search algorithm for feature selection in classification tasks

  2026cites this paper
• Predicting Open Source Software Sustainability with Deep Temporal Neural Hierarchical Architectures and Explainable AI

  2026cites this paper
• Importance inversion transfer identifies shared principles for cross-domain learning

  2026cites this paper
• Inverse identification of unsteady disturbance sources in mine ventilation systems

  2026cites this paper
• Machine Learning-Driven Prediction of Chloride Resistance and Service Life Estimation in Blended Cement Concrete

  2026cites this paper
• Enhanced Forest Inventories for Habitat Mapping: A Case Study in the Sierra Nevada Mountains of California

  2026cites this paper
• A Stacking Based Ensemble Learning Approach for Accurate Identification of Tumor Homing Peptides in Precision Cancer Therapeutics

  2026cites this paper
• CM-CCL: Collaborative multi-scale concept-cognitive learning for knowledge discovery

  2026cites this paper
• SPT: Obtaining long trajectory data of disordered traffic using a swarm of unmanned aerial vehicles

  2026cites this paper
• 3D-seismic channel–floodplain geomorphology of the Rhaetian Distributive Fluvial System in the North German Basin: an integrated workflow with machine learning for geothermal prospects

  2026cites this paper
• Tillage-induced soil feature extraction and multi-sensors fusion for tillage system classification

  2026cites this paper
• A unified data-driven framework for seismic loss and repair time assessment of steel moment-resisting frames based on structural and nonstructural damage

  2026cites this paper
• Exploratory modeling and analysis of adaptation to urban heat stress under climate change in Switzerland

  2026cites this paper
• Machine learning-driven prediction of magnetic parameters in magnetic nanoparticles

  2026cites this paper
• Holistic monitoring framework for drinking water management: Microbiome data-assisted machine learning assessment for disinfectant byproducts

  2026cites this paper
• Ownership, regulation, and ESG in transport and logistics: Insights for policy from explainable machine learning

  2026cites this paper
• A neuron-level interpretation of reservoir computing by its perturbation-based memory capacity

  2026cites this paper
• NefroAI: An Explainable and Real-Time Framework for Predicting Chronic Kidney Disease Using Diverse Machine Learning Models and Different Feature Selection Techniques

  2026cites this paper
• High-Order Epistasis Detection Using Factorization Machine with Quadratic Optimization Annealing and MDR-Based Evaluation

  2026cites this paper
• Mirai Botnet Multi-Class Attack Detection Through Machine Learning and Feature Selection

  2026cites this paper
• Measuring and prognosis of remaining useful life of light-emitting diodes based on nonlinear fuzzy inference system

  2026cites this paper
• Clinical Profile Identification of Indigenous Infants With Bronchiolitis Through Using Unsupervised Feature Extraction and Clustering

  2026cites this paper
• ROOFS: RObust biOmarker Feature Selection

  2026cites this paper
• Hybrid PCA-PINN framework for accurate and transparent ECG arrhythmia detection

  2026cites this paper
• KidneyTox_v1.0 enables explainable artificial intelligence prediction of nephrotoxicity in small molecules

  2026cites this paper
• Investigation of machine learning methods for predicting surgical parameters in strabismus surgery

  2026cites this paper
• TCP-HAR: On-Device Transferable and Copyright-Preserving Human Activity Recognition

  2026cites this paper
• Indoor–Outdoor Detection Using Low-Cost Air Quality Sensors

  2026cites this paper
• Mapping the Spatial Distribution of Photovoltaic Power Plants in Northwest China Using Remote Sensing and Machine Learning

  2026cites this paper
• Advancing Mediterranean Biodiversity Monitoring in South Africa Through Machine Learning and Cost‐Effective UAS Imagery

  2026cites this paper
• Beyond Unidimensionality: General Factors and Residual Heterogeneity in Performance Evaluation

  2026cites this paper
• Machine learning approaches to predicting the uniaxial compressive strength of granite from image-derived mineralogical features

  2026cites this paper
• An XGBoost-Based Intrusion Detection Framework with Interpretability Analysis for IoT Networks

  2026cites this paper
• Improving predictive accuracy in medical datasets using enhanced enzyme action optimizer for feature selection

  2026cites this paper
• Variational oblique predictive clustering trees

  2026cites this paper
• Fingerprinting AI Coding Agents on GitHub

  2026cites this paper
• Synthetic Data Guided Feature Selection for Robust Activity Recognition in Older Adults

  2026cites this paper
• Resolving Interpretation Challenges in Machine Learning Feature Selection With an Iterative Approach in Biomedical Pain Data

  2026cites this paper
• EEG-based design creativity exploration through recurrence quantification analysis

  2026cites this paper
• AI-Enabled End-of-Line Quality Control in Electric Motor Manufacturing: Methods, Challenges, and Future Directions

  2026cites this paper
• Scalable embedding fusion with protein language models: insights from benchmarking text-integrated representations

  2026cites this paper
• A novel nature inspired feature optimization algorithm to detect breast cancer using machine learning

  2026cites this paper
• Temperature-compensated fiber Bragg grating cantilever sensor for sliding-tactile sensing and material identification

  2026cites this paper
• National data meets AI: Machine learning for predicting overweight/obesity among ever-married Bangladeshi women

  2026cites this paper
• Application of hybrid feature selection methods to improve turbulence models using machine learning

  2026cites this paper