Introduces a number of different approaches to extracting rules from support vector machines developed by key researchers in the field. Successful applications are outlined and future research opportunities are discussed INDICE: PART I: Introduction.- Rule extraction from support vector machines - An introduction.- Rule extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.- PART II: Algorithms and Techniques.- Rule Extraction from Transfer Learning.- Rule Extraction from Linear Support Vector Machines via Mathematical Programming.- Rule Extraction based on Support and Prototype Vectors.- SVMT-Rule: Association Rule Mining over SVM Classification Trees.- Using relevance vector machines to generate prototype based rules.- PART III: Applications.- Prediction of First-Day Returns of InitialPublic Offerings in the US Stock Market Using Rule Extraction from Support Vector Machines.- Accent in Speech Samples: Classification and Rule Extraction using Support Vector Machines.- Rule extraction from SVMs for Protein StructurePrediction.
- ISBN: 978-3-540-75389-6
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 300
- Fecha Publicación: 01/01/2008
- Nº Volúmenes: 1
- Idioma: Inglés