Explanation Based Learning - Fundamentals and Applications
Fouad Sabry
Casa editrice: One Billion Knowledgeable
Sinossi
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.
