Phase transitions in machine learning

• Tác giả: Antoine Cornuejols, Attilio Giordana, L Saitta
• Ngôn ngữ: eng
• ISBN-10: 0521763916
• ISBN-13: 978-0521763912
• Ký hiệu phân loại: 006.3 Artificial intelligence
• Thông tin xuất bản: Cambridge ; New York : Cambridge University Press, 2011
• Mô tả vật lý: xv, 383 p. : , ill. (some col.) ; , 26 cm
• Bộ sưu tập: Công nghệ thông tin
• ID: 76369
• Chủ đề: 1. Machine learning; 2. Phase transformations (Statistical physics)

Includes bibliographical references and index

Tóm tắt

"Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning and as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropriate methods for tackling them"-- Provided by publisher.