Pages that link to "Item:Q1127360"

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

Displaying 50 items.

• Feature selection for better identification of subtypes of Guillain-Barré syndrome (Q2330162) (← links)
• A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm (Q2337406) (← links)
• The effect of splitting on random forests (Q2347711) (← links)
• Non-parametric classifier-independent feature selection (Q2369609) (← links)
• The Bhattacharyya space for feature selection and its application to texture segmentation (Q2369617) (← links)
• A penalized criterion for variable selection in classification (Q2370521) (← links)
• Embedded variable selection method using signomial classification (Q2400010) (← links)
• Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy (Q2416976) (← links)
• Hadoop neural network for parallel and distributed feature selection (Q2418175) (← links)
• Linear feature extraction by integrating pairwise and global discriminatory information via sequential forward floating selection and kernel QR factorization with column pivoting (Q2469733) (← links)
• Invariant optimal feature selection: A distance discriminant and feature ranking based solution (Q2476551) (← links)
• Constraint score: A new filter method for feature selection with pairwise constraints (Q2476552) (← links)
• Performance evaluation of soft color texture descriptors for surface grading using experimental design and logistic regression (Q2476585) (← links)
• Intelligent sensory evaluation: Concepts, implementations, and applications (Q2483520) (← links)
• Bayesian network classifiers versus selective \(k\)-NN classifier (Q2485033) (← links)
• FS\(_-\)SFS: a novel feature selection method for support vector machines (Q2495927) (← links)
• The impact of preprocessing on data mining: an evaluation of classifier sensitivity in direct marketing (Q2497261) (← links)
• Optimization-based feature selection with adaptive instance sampling (Q2499140) (← links)
• Classification using hierarchical Naïve Bayes models (Q2499542) (← links)
• Supervised classification with conditional Gaussian networks: increasing the structure complexity from naive Bayes (Q2506808) (← links)
• Bayesian approach to feature selection and parameter tuning for support vector machine classifiers (Q2568024) (← links)
• Solving feature subset selection problem by a parallel scatter search (Q2570148) (← links)
• Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces (Q2632581) (← links)
• Markov mean properties for cell death-related protein classification (Q2632745) (← links)
• Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor (Q2633546) (← links)
• Markov blanket-embedded genetic algorithm for gene selection (Q2643912) (← links)
• Income prediction in the agrarian sector using product unit neural networks (Q2655626) (← links)
• Selection of time instants and intervals with support vector regression for multivariate functional data (Q2664383) (← links)
• Feature selection using stochastic approximation with Barzilai and Borwein non-monotone gains (Q2668766) (← links)
• Variable selection for Naïve Bayes classification (Q2669548) (← links)
• Solving dimension reduction problems for classification using promoted crow search algorithm (PCSA) (Q2674428) (← links)
• Local feature selection with dynamic integration of classifiers (Q2775879) (← links)
• Hybrid feature selection algorithm using symmetrical uncertainty and a harmony search algorithm (Q2798460) (← links)
• Feature selection based on meta-heuristics for biomedicine (Q2926050) (← links)
• When Learning Naive Bayesian Classifiers Preserves Monotonicity (Q3011963) (← links)
• Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem (Q3016271) (← links)
• (Q3018447) (← links)
• Evolutionary Tolerance-Based Gene Selection in Gene Expression Data (Q3019856) (← links)
• An Enhanced Support Vector Machines Model for Classification and Rule Generation (Q3020447) (← links)
• MODULAR FEATURE SELECTION USING RELATIVE IMPORTANCE FACTORS (Q3022136) (← links)
• A classifier based on rough set and relevance vector machine for disease diagnosis (Q3054698) (← links)
• Machine learning approach for locating phase interfaces using conductivity probes (Q3111169) (← links)
• Information enhancement for interpreting competitive learning (Q3163023) (← links)
• Fuzzy Clustering-Based Filter (Q3164027) (← links)
• Variable Selection for Clustering with Gaussian Mixture Models (Q3183203) (← links)
• From Supervised Instance and Feature Selection Algorithms to Dual Selection: A Review (Q3297373) (← links)
• Selection of the Regularization Parameter in Graphical Models Using Network Characteristics (Q3391115) (← links)
• Multi-network evolutionary systems and automatic decomposition of complex problems (Q3423728) (← links)
• Feature extraction through local learning (Q3497745) (← links)
• APPLICATION OF ANT COLONY OPTIMIZATION TO CREDIT RISK ASSESSMENT (Q3498276) (← links)