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售價:5265  |
作者：HAMEL, LUTZ 出版社：JOHN WILEY & SONS INC 出版日期：2009年08月03日 語言：英文 ISBN：9780470371923 裝訂：精裝 內容簡介TOPWILEY SERIES ON METHODS AND APPLICATIONS IN DATA MININGDANIEL T. LAROSE, SERIES EDITORKNOWLEDGE DISCOVERY WITH SUPPORT VECTOR MACHINESLUTZ HAMELAN EASY-TO-FOLLOW INTRODUCTION TO SUPPORT VECTOR MACHINESTHIS 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-CLASS CLASSIFICATION REGRESSION WITH SUPPORT VECTOR MACHINES NOVELTY DETECTION COMPLEMENTED WITH HANDS-ON EXERCISES, ALGORITHM DESCRIPTIONS, AND DATA SETS, KNOWLEDGE DISCOVERY WITH SUPPORT VECTOR MACHINES IS AN INVALUABLE TEXTBOOK FOR ADVANCED UNDERGRADUATE AND GRADUATE COURSES. IT IS ALSO AN EXCELLENT TUTORIAL ON SUPPORT VECTOR MACHINES FOR PROFESSIONALS WHO ARE PURSUING RESEARCH IN MACHINE LEARNING AND RELATED AREAS. |
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