Litcius/Paper detail

Coordinate descent for top-k multi-label feature selection with pseudo-label learning and manifold learning

Ruijia Li, Yingcang Ma, Hong Chen, Xiaofei Yang, Zhiwei Xing

2025Neurocomputing6 citationsDOI

Topics & Concepts

Coordinate descentFeature learningComputer scienceArtificial intelligenceFeature selectionNonlinear dimensionality reductionManifold alignmentLaplacian matrixFeature (linguistics)Pattern recognition (psychology)Machine learningRepresentation (politics)GraphKey (lock)Gradient descentManifold (fluid mechanics)Dimensionality reductionConvergence (economics)Selection (genetic algorithm)Optimization problemAlgorithmFeature extractionFace (sociological concept)Stochastic gradient descentLaplace operatorMathematicsBinary numberMulti-task learningSemi-supervised learningText and Document Classification TechnologiesImage Retrieval and Classification TechniquesMachine Learning in Bioinformatics
Coordinate descent for top-k multi-label feature selection with pseudo-label learning and manifold learning | Litcius