Product Details

Learning Kernel Classifiers: Theory and Algorithms — Hardcover Book, English Brand/Publisher: MIT Press ISBN: 026208306X | EAN: 9780262083065 Format: Hardback (Hardcover) | Pages: 384 Publication Date: 12/15/2001 About This Book Learning Kernel Classifiers: Theory and Algorithms presents rigorous foundations and practical approaches for learning kernel-based classifiers. Covering core ideas in machine learning and algorithmic methods, this university press volume supports readers interested in theory, algorithms, and advanced concepts in adaptive computation and machine learning. Key Topics & Subjects * Machine learning and artificial intelligence * Computer science and programming (general) * Algorithms and algorithmic learning methods * Kernel classifiers and learning theory * Scholarly / graduate-level reference Features * Hardcover binding for durability * Scholarly, university press content * Designed for advanced study in ML/AI algorithms * 384 pages * Language: English Condition USED_GOOD — previously owned in good condition. (See listing photos for cosmetic details.) Compatibility / Intended Use Ideal for students, researchers, and professionals seeking a reference on kernel-based classification learning theory and algorithms in machine learning.