Pages that link to "Item:Q1127360"

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

Displaying 50 items.

• Learning Bayesian network classifiers: Searching in a space of partially directed acyclic graphs (Q1778146) (← links)
• Adaptive compressive learning for prediction of protein-protein interactions from primary sequence (Q1783649) (← links)
• Predicting protein structural class based on multi-features fusion (Q1795105) (← links)
• Forecasting financial failure using a Kohonen map: a comparative study to improve model stability over time (Q1926866) (← links)
• Low rank updated LS-SVM classifiers for fast variable selection (Q1932006) (← links)
• Score-based methods for learning Markov boundaries by searching in constrained spaces (Q1944976) (← links)
• Semi-supervised local Fisher discriminant analysis for dimensionality reduction (Q1959540) (← links)
• gBoost: a mathematical programming approach to graph classification and regression (Q1959643) (← links)
• BNC-PSO: structure learning of Bayesian networks by particle swarm optimization (Q1991849) (← links)
• Quantum-enhanced feature selection with forward selection and backward elimination (Q1993773) (← links)
• Metaheuristics for data mining (Q2001197) (← links)
• Ensemble feature selection using election methods and ranker clustering (Q2004741) (← links)
• Benchmark for filter methods for feature selection in high-dimensional classification data (Q2008133) (← links)
• Ridge-forward quadratic discriminant analysis in high-dimensional situations (Q2014431) (← links)
• Multi-state deterioration prediction for infrastructure asset: learning from uncertain data, knowledge and similar groups (Q2023257) (← links)
• Analyzing cognitive processes from complex neuro-physiologically based data: some lessons (Q2023873) (← links)
• Optimal feature selection for SAR image classification using biogeography-based optimization (BBO), artificial bee colony (ABC) and support vector machine (SVM): a combined approach of optimization and machine learning (Q2027161) (← links)
• Extending greedy feature selection algorithms to multiple solutions (Q2036770) (← links)
• Novel self-adjusted particle swarm optimization algorithm for feature selection (Q2047517) (← links)
• A relative uncertainty measure for fuzzy rough feature selection (Q2060790) (← links)
• Improving whale optimization algorithm for feature selection with a time-varying transfer function (Q2061326) (← links)
• Modeling interactive components by coordinate kernel polynomial models (Q2063336) (← links)
• The impact of clean spark spread expectations on storage hydropower generation (Q2064637) (← links)
• TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions (Q2097447) (← links)
• A neural network based multi-class trading strategy for the S\&P 500 index (Q2100518) (← links)
• Regression with adaptive Lasso and correlation based penalty (Q2109879) (← links)
• A weighted wrapper approach to feature selection (Q2115924) (← links)
• Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders (Q2127239) (← links)
• Clustering, multicollinearity, and singular vectors (Q2143037) (← links)
• A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference (Q2152880) (← links)
• Variable selection for binary classification in large dimensions: comparisons and application to microarray data (Q2197385) (← links)
• Convolutional neural network learning for generic data classification (Q2201683) (← links)
• Heuristic-based feature selection for rough set approach (Q2206454) (← links)
• A semi-parallel framework for greedy information-theoretic feature selection (Q2214991) (← links)
• An instance voting approach to feature selection (Q2225171) (← links)
• Feature selection and threshold method based on fuzzy joint mutual information (Q2237160) (← links)
• How training on multiple time slices improves performance in churn prediction (Q2239912) (← links)
• A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem (Q2248551) (← links)
• Sparse optimization in feature selection: application in neuroimaging (Q2250090) (← links)
• Patient specific seizure prediction system using Hilbert spectrum and Bayesian networks classifiers (Q2262544) (← links)
• An approach to data reduction and integrated machine classification (Q2269084) (← links)
• Latent classification models for binary data (Q2270743) (← links)
• Feature selection based on loss-margin of nearest neighbor classification (Q2270819) (← links)
• Feature selection for high-dimensional data (Q2271790) (← links)
• An efficient accelerator for attribute reduction from incomplete data in rough set framework (Q2275964) (← links)
• Correntropy based feature selection using binary projection (Q2276023) (← links)
• Gene selection via a new hybrid ant colony optimization algorithm for cancer classification in high-dimensional data (Q2283785) (← links)
• Feature selection for classification through population random search with memory (Q2290311) (← links)
• Investigating consumers' store-choice behavior via hierarchical variable selection (Q2324251) (← links)
• Massive datasets and machine learning for computational biomedicine: trends and challenges (Q2329887) (← links)