Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications.
Andrea MurariEmmanuele PelusoSaeed TalebzadehPasqualino GaudioMichele LungaroniOndrej MikulinJesús VegaMichela GelfusaPublished in: KDIR (2017)
Keyphrases
- mathematical models
- support vector
- learning machines
- large margin classifiers
- mathematical model
- experimental data
- complex systems
- physical phenomena
- logistic regression
- maximum margin
- hyperplane
- mathematical modeling
- cross validation
- support vector machine
- artificial intelligence
- kernel function
- multi class
- real world
- generalization ability
- classification accuracy
- scientific data
- analytical methods
- data types
- support vectors
- loss function
- model selection
- generalization bounds
- physical processes
- learning algorithm