Wiley Statistical Learning Theory - Adaptive and Cognitive Systems

Master the complexities of learning and generalization theory with this comprehensive guide from Wiley. This book focuses on the statistical theory of learning, addressing the fundamental challenge of selecting desired functions based on empirical data. It provides a clear and accessible look at the theory as a whole, making it an essential resource for professionals and students working in computer science and robotics. The text introduces a specific method for determining the necessary and sufficient conditions for a consistent learning process. You will learn how to handle function estimates from small data pools and see how to apply these estimations to real-life problems. Whether you are studying signal processing, communications, or control systems, this volume offers the theoretical foundation needed to understand how machines learn from data.