A Systematic Literature Review on Support Vector Machines Applied to Classification
Miguel Ángel Cano Lengua, Erik Alex Papa Quiroz
Abstract
This paper aims to identify the current state of the art of the latest research related to support vector machines through a literature review system according to the methodology proposed by Kitchenham and Charter, in order to answer the following research questions: Q1: In which research areas are they used? Q2: What are the main applications related with classification? Q3: What optimization methods or algorithms are used in SVMs?
Topics & Concepts
Support vector machineComputer scienceMachine learningSystematic reviewArtificial intelligenceData miningRelevance vector machinePolitical scienceMEDLINELawFace and Expression RecognitionText and Document Classification TechnologiesAnomaly Detection Techniques and Applications