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Titlebook: Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining; Hassan AbouEisha,Talha Amin,Mikhail Moshkov Book 2019 Sp

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發(fā)表于 2025-3-21 17:44:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
編輯Hassan AbouEisha,Talha Amin,Mikhail Moshkov
視頻videohttp://file.papertrans.cn/320/319856/319856.mp4
概述Presents different dynamic programming applications in the areas of (i) optimization of decision trees, (ii) optimization of decision rules and systems of decision rules, (iii) optimization of element
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining;  Hassan AbouEisha,Talha Amin,Mikhail Moshkov Book 2019 Sp
描述.Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. Th
出版日期Book 2019
關(guān)鍵詞Dynamic Programming; Pareto Optimal Points; Bi-criteria Optimization Problem; Matrix Chain Multiplicati
版次1
doihttps://doi.org/10.1007/978-3-319-91839-6
isbn_softcover978-3-030-06309-2
isbn_ebook978-3-319-91839-6Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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發(fā)表于 2025-3-21 22:49:43 | 只看該作者
In-store Mobile Marketing-KommunikationIn this chapter, we consider tools (statements and algorithms) which are used for the study of Pareto optimal points for bi-criteria optimization problems related to decision trees, decision rules, decision rule systems, and element partition trees.
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發(fā)表于 2025-3-22 00:33:19 | 只看該作者
InSAR Observations of Ground DeformationIn this chapter, we consider multi-stage optimization technique for decision trees and two of its applications: study of totally optimal (simultaneously optimal relative to a number of cost functions) decision trees for Boolean functions, and improvement of bounds on depth of decision trees for diagnosis of circuits.
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Introduction,This chapter discusses the extensions of dynamic programming developed in the book, four main directions of the study, applications, and the structure of the book.
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Hassan AbouEisha,Talha Amin,Mikhail MoshkovPresents different dynamic programming applications in the areas of (i) optimization of decision trees, (ii) optimization of decision rules and systems of decision rules, (iii) optimization of element
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