Cargando…
Learning with Support Vector Machines
Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing. In th...
Autores principales: | , |
---|---|
Lenguaje: | eng |
Publicado: |
Morgan & Claypool Publishers
2010
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1486593 |
Sumario: | Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing. In this book we give an introductory overview of this subject. We start with a simple Support Vector Machine for performing binary classification before considering multi-class classification and learning in the presence of noise. We show that this framework can be extended to many other scenarios such a |
---|