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Explanation Based Learning - Fundamentals and Applications - cover

Explanation Based Learning - Fundamentals and Applications

Fouad Sabry

Editorial: One Billion Knowledgeable

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Sinopsis

What Is Explanation Based Learning
 
A type of machine learning known as explanation-based learning, or EBL for short, takes advantage of an extremely robust, or even flawless, domain theory in order to generalize from training data or construct concepts. It also has a connection with encoding, or memory, which assists with learning.
 
How You Will Benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Explanation-based learning
 
Chapter 2: Computational linguistics
 
Chapter 3: Natural language processing
 
Chapter 4: Corpus linguistics
 
Chapter 5: Parsing
 
Chapter 6: Question answering
 
Chapter 7: Link grammar
 
Chapter 8: Grammar induction
 
Chapter 9: Structured prediction
 
Chapter 10: Deep linguistic processing
 
(II) Answering the public top questions about explanation based learning.
 
(III) Real world examples for the usage of explanation based learning in many fields.
 
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of explanation based learning' technologies.
 
Who This Book Is For
 
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of explanation based learning.
Disponible desde: 30/06/2023.
Longitud de impresión: 92 páginas.

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