CABI One Health

• Record Nr.: UNISA996523369903316
• Pubbl/distr/stampa: [Wallingford, United Kingdom] : , : CABI Publishing, , 2022-
• ISSN: 2791-223X
• Descrizione fisica: 1 online resource
• Soggetti: Environmental protection; Environmental sciences; Agricultural conservation; Animal health; Biodiversity; Nature conservation; Oceanography; Water security; Geography; Periodicals.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Periodico
• Note generali: Place of publication from publisher's website (CABI Digital Library).

Knowledge discovery with support vector machines / / Lutz Hamel

• Record Nr.: UNINA9910139896403321
• Autore: Hamel Lutz
• Pubbl/distr/stampa: Hoboken, NJ, : John Wiley & Sons, 2009
• ISBN: 9786612345661; 9781118211038; 1118211030; 9781282345669; 1282345664; 9780470503065; 0470503068; 9780470503041; 0470503041
• Descrizione fisica: 1 online resource (266 p.)
• Collana: Wiley series on methods and applications in data mining
• Disciplina: 005.1
• Soggetti: Support vector machines; Data mining; Machine learning; Computer algorithms
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: KNOWLEDGE DISCOVERY WITH SUPPORT VECTOR MACHINES; CONTENTS; PREFACE; PART I; 1 WHAT IS KNOWLEDGE DISCOVERY?; 2 KNOWLEDGE DISCOVERY ENVIRONMENTS; 3 DESCRIBING DATA MATHEMATICALLY; 4 LINEAR DECISION SURFACES AND FUNCTIONS; 5 PERCEPTRON LEARNING; 6 MAXIMUM-MARGIN CLASSIFIERS; PART II; 7 SUPPORT VECTOR MACHINES; 8 IMPLEMENTATION; 9 EVALUATING WHAT HAS BEEN LEARNED; 10 ELEMENTS OF STATISTICAL LEARNING THEORY; PART III; 11 MULTICLASS CLASSIFICATION; 12 REGRESSION WITH SUPPORT VECTOR MACHINES; 13 NOVELTY DETECTION; APPENDIX A NOTATION; APPENDIX B TUTORIAL INTRODUCTION TO R; B.1 Programming ConstructsB.2 Data Constructs; B.3 Basic Data Analysis; Bibliographic Notes; REFERENCES; INDEX
• Sommario/riassunto: An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: Knowledge discovery environments Describing data mathematically Linear decision surfaces and functions Perceptron learning Maximum margin classifiers Support vector machines Elements of statistical learning theory Multi-