Machine Learning: A Constraint-Based Approach
Language: English
Published by Morgan Kaufmann, 2017
- Softcover
- Used
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.Bay State Book Company
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Condition: Used - Good
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The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.
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- Title
- Machine Learning: A Constraint-Based Approach
- Author
- Gori Ph.D., Marco
- Publisher
- Morgan Kaufmann
- Publication year
- 2017
- Condition
- good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0081006594
- ISBN 13
- 9780081006597
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines.
The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based approach followed in this book.
This book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, and includes many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.
- Presents fundamental machine learning concepts, such as neural networks and kernel machines in a unified manner
- Provides in-depth coverage of unsupervised and semi-supervised learning
- Includes a software simulator for kernel machines and learning from constraints that also includes exercises to facilitate learning
- Contains 250 solved examples and exercises chosen particularly for their progression of difficulty from simple to complex
"Synopsis" may belong to another edition of this title.
About the Author
(http://www.topitalianscientists.org/top_italian_scientists.aspx). Dr. Gori is a fellow of the IEEE, ECCAI, and IAPR.
"About the title" may belong to another edition of this title.
Bay State Book Company
North Smithfield, RI, U.S.A.
AbeBooks seller since January 23, 2023
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