Quadratic optimization fine tuning for the Support Vector Machines learning phase.
Miguel González-MendozaRodolfo Ibarra-OrozcoAriel L. García-GamboaNeil Hernández-GressJaime Mora-VargasJuan Carlos López PimentelPublished in: Expert Syst. Appl. (2014)
Keyphrases
- fine tuning
- learning phase
- quadratic optimization
- support vector
- support vector machine
- interior point methods
- training phase
- fine tuned
- testing phase
- classification accuracy
- cross validation
- learning process
- kernel function
- feature selection
- convex optimization
- generalization ability
- kernel methods
- hyperplane
- semidefinite programming
- linear programming
- denoising
- objective function
- machine learning