A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification
Asunción Jiménez-Cordero, Juan M. Morales, Salvador Pineda
Topics & Concepts
InterpretabilitySupport vector machineFeature selectionComputer scienceBenchmark (surveying)Artificial intelligenceMachine learningFeature (linguistics)Selection (genetic algorithm)Data miningPattern recognition (psychology)GeodesyLinguisticsGeographyPhilosophyFault Detection and Control SystemsFace and Expression RecognitionMachine Learning and Algorithms