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317 pages • first pub 1999 (editions)
ISBN/UID: None
Format: Not specified
Language: English
Publisher: Not specified
Publication date: Not specified
For the reader who is fascinated by the intricate dance of machines and minds, Systems That Learn: An Introduction to Learning Theory is a captivating journey into the world of formal learning theory, where the boundaries of artificial intelligence and human understanding blur in a quest for a deeper comprehension of the universe.
Description
Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-f...
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317 pages • first pub 1999 (editions)
ISBN/UID: None
Format: Not specified
Language: English
Publisher: Not specified
Publication date: Not specified
For the reader who is fascinated by the intricate dance of machines and minds, Systems That Learn: An Introduction to Learning Theory is a captivating journey into the world of formal learning theory, where the boundaries of artificial intelligence and human understanding blur in a quest for a deeper comprehension of the universe.
Description
Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-f...
Community reviews
This book doesn't have any reviews or ratings yet!
If you've read it, mark it as 'read' and add a review to help others in the StoryGraph community figure out if it might be a book for them!
Content Warnings
This book doesn't have any content warnings yet!
If you're the author of this book and want to add author-approved content warnings, please email us at support@thestorygraph.com to request the content warning form.