關於這本電子書
In the field of computer science, beam search refers to a heuristic search technique that investigates a graph by extending the node that appears to have the greatest potential among a restricted group. The memory requirements of best-first search can be reduced with the use of an optimization called beam search. The best-first search is a type of graph search that arranges all of the partial solutions (states) in some order determined by a heuristic. However, in beam search, only a certain number of the best partial solutions are maintained as candidates. This number is specified in advance. This means that the algorithm is greedy.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Beam search
Chapter 2: Heuristic (computer science)
Chapter 3: Search algorithm
Chapter 4: Best-first search
Chapter 5: Greedy algorithm
Chapter 6: Breadth-first search
Chapter 7: Tree traversal
Chapter 8: Machine translation
Chapter 9: Neural machine translation
Chapter 10: Raj Reddy
(II) Answering the public top questions about beam search.
(III) Real world examples for the usage of beam search in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of beam search' 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 beam search.
