£165.59

Wiley Statistical Learning Theory - Adaptive and Cognitive Systems

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Description

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.

Key Features

Covers the statistical theory of learning and generalization to help you choose desired functions from empirical data.

Provides a method for determining the necessary and sufficient conditions for a consistent learning process.

Explains how to manage and apply function estimates when working with small data pools.

Applicable to various professional fields including robotics, computer science, signal processing, and communications.

Offers lucid coverage of adaptive and cognitive dynamic systems for advanced learning and control applications.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
12 October 1998
Listed Since
09 February 2007

Barcode

No barcode data available

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