Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
scientific article; zbMATH DE number 6276111 - MaRDI portal

scientific article; zbMATH DE number 6276111

From MaRDI portal
Publication:5405109

zbMath1283.68283MaRDI QIDQ5405109

Mikel Luján, Ming-Jie Zhao, Adam Pocock, Gavin Brown

Publication date: 1 April 2014

Full work available at URL: http://www.jmlr.org/papers/v13/brown12a.html

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.



Related Items

On bandwidth selection using minimal spanning tree for kernel density estimationLocality preserving score for joint feature weights learningDealing with under-reported variables: an information theoretic solutionMultiple testing of conditional independence hypotheses using information-theoretic approachCan high-order dependencies improve mutual information based feature selection?Using the “Hidden” genome to improve classification of cancer typesFeature selection based on fuzzy combination entropy considering global and local feature correlationData poisoning against information-theoretic feature selectionCost-constrained group feature selection using information theoryA neurodynamic optimization approach to supervised feature selection via fractional programmingA fuzzy set based approach for effective feature selectionCompetence-aware systemsSquared error-based shrinkage estimators of discrete probabilities and their application to variable selectionUnnamed ItemAFNFS: adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced dataOnline streaming feature selection using rough setsCost-based Feature Selection for Network Model ChoiceStreaming feature-based causal structure learning algorithm with symmetrical uncertaintyFuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteriaSimple strategies for semi-supervised feature selectionConcomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuitA semi-parallel framework for greedy information-theoretic feature selectionScalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral NetworksRecurrent Information Optimization with Local, Metaplastic Synaptic DynamicsAn adaptive heuristic for feature selection based on complementarityAn instance voting approach to feature selectionFrom Supervised Instance and Feature Selection Algorithms to Dual Selection: A ReviewNew perspectives on multilocus ancestry informativenessA greedy feature selection algorithm for big data of high dimensionalityA set-cover-based approach for the test-cost-sensitive attribute reduction problemSolving a class of feature selection problems via fractional 0--1 programmingAsymptotic distributions of empirical interaction informationA factor graph model for unsupervised feature selectionBenchmark for filter methods for feature selection in high-dimensional classification dataUnnamed ItemUnnamed ItemGeneralized feature similarity measureForward-Backward Selection with Early DroppingEvaluating and selecting features via information theoretic lower bounds of feature inner correlations for high-dimensional dataExtending greedy feature selection algorithms to multiple solutionsAn efficient semi-supervised representatives feature selection algorithm based on information theoryStructure learning of Bayesian networks by continuous particle swarm optimization algorithmsMaximum relevance minimum common redundancy feature selection for nonlinear dataPredicting 72-hour reattendance in emergency departments using discriminant analysis via mixed integer programming with electronic medical recordsAdaptive Information-Theoretical Feature Selection for Pattern ClassificationEfficient feature selection using shrinkage estimatorsRegularized target encoding outperforms traditional methods in supervised machine learning with high cardinality featuresRegression with adaptive Lasso and correlation based penalty




This page was built for publication: