Pages that link to "Item:Q1127360"

The following pages link to Wrappers for feature subset selection (Q1127360):

Displaying 50 items.

• A Model of User-Oriented Reduct Construction for Machine Learning (Q3600310) (← links)
• Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification (Q3612325) (← links)
• Feature Selection Using Single/Multi-Objective Memetic Frameworks (Q3627783) (← links)
• DESIGNING RELEVANT FEATURES FOR CONTINUOUS DATA SETS USING ICA (Q3629854) (← links)
• RHC method for application to BMI‐based systems (Q3639400) (← links)
• Variable Selection for Support Vector Machines (Q3652711) (← links)
• A model-free variable selection method for reducing the number of redundant variables (Q4559351) (← links)
• Interactive evolutionary approaches to multiobjective feature selection (Q4571763) (← links)
• (Q4636979) (← links)
• Multi‐objective feature selection using a Bayesian artificial immune system (Q4932959) (← links)
• Two‐way Gaussian mixture models for high dimensional classification (Q4969723) (← links)
• A variance reduction framework for stable feature selection (Q4969855) (← links)
• (Q4998936) (← links)
• A Novel Approach to Feature Selection Based on Quality Estimation Metrics (Q5016652) (← links)
• A novel feature selection approach based on clustering algorithm (Q5033944) (← links)
• Crop prediction based on soil and environmental characteristics using feature selection techniques (Q5070674) (← links)
• Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models (Q5083361) (← links)
• (Q5134570) (← links)
• (Q5152050) (← links)
• Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin (Q5157256) (← links)
• An application of a GA with Markov network surrogate to feature selection (Q5172496) (← links)
• Discrete Bayesian Network Classifiers (Q5178092) (← links)
• (Q5214189) (← links)
• Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media (Q5228359) (← links)
• High-Dimensional Data Classification (Q5270620) (← links)
• (Q5384957) (← links)
• AN INCREMENTAL APPROACH TO MSE-BASED FEATURE SELECTION (Q5434991) (← links)
• Feature Selection via Coalitional Game Theory (Q5457592) (← links)
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty (Q5473770) (← links)
• Support Vector Machines for Dyadic Data (Q5474571) (← links)
• UNSUPERVISED LEARNING OF BAYESIAN NETWORKS VIA ESTIMATION OF DISTRIBUTION ALGORITHMS: AN APPLICATION TO GENE EXPRESSION DATA CLUSTERING (Q5696978) (← links)
• Advances in Neural Networks – ISNN 2005 (Q5707135) (← links)
• Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition (Q5758075) (← links)
• Quality assessment of gene selection in microarray data (Q5758171) (← links)
• Feature selection algorithms in classification problems: an experimental evaluation (Q5758175) (← links)
• Feature subset selection by Bayesian networks: A comparison with genetic and sequential algorithms (Q5944734) (← links)
• Differentiating between good credits and bad credits using neuro-fuzzy systems (Q5955100) (← links)
• A neurodynamic optimization approach to supervised feature selection via fractional programming (Q6078682) (← links)
• Feature selection in machine learning via variable neighborhood search (Q6085272) (← links)
• Supervised feature selection using integration of densest subgraph finding with floating forward-backward search (Q6086296) (← links)
• Skysurveys, Light Curves and Statistical Challenges (Q6086483) (← links)
• Budget constrained model selection for multiple linear regression (Q6141733) (← links)
• Dependency maximization forward feature selection algorithms based on normalized cross-covariance operator and its approximated form for high-dimensional data (Q6150423) (← links)
• Feature Selection: From the Past to the Future (Q6487264) (← links)
• Neurodynamics-driven holistic approaches to semi-supervised feature selection (Q6488740) (← links)
• Sparse nonparametric regression with regularized tensor product kernel (Q6541594) (← links)
• OCtS: an alternative of the t-Score method sensitive to outliers and correlation in feature selection (Q6558508) (← links)
• LPRR: locality preserving robust regression based jointly sparse feature extraction (Q6595300) (← links)
• Sparse feature selection and rare value prediction in imbalanced regression (Q6595313) (← links)
• A review of quadratic discriminant analysis for high-dimensional data (Q6602202) (← links)