Decision and inhibitory trees

Fawaz Alsolami; Mohammad Azad; Igor Chikalov; Mikhail Moshkov

doi:10.1007/978-3-030-12854-8_6

Decision and inhibitory trees

Fawaz Alsolami^*, Mohammad Azad, Igor Chikalov, Mikhail Moshkov

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

8 Scopus citations

Abstract

In this chapter, we consider various types of decision and inhibitory trees. We discuss the notion of a cost function for trees, the notion of decision tree uncertainty, and the notion of inhibitory tree completeness. We consider also an algorithm for counting the number of decision trees represented by a directed acyclic graph.

Original language	English (US)
Title of host publication	Intelligent Systems Reference Library
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	91-103
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-030-12854-8_6
State	Published - 2020

Publication series

Name	Intelligent Systems Reference Library
Volume	156
ISSN (Print)	1868-4394
ISSN (Electronic)	1868-4408

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

ASJC Scopus subject areas

General Computer Science
Information Systems and Management
Library and Information Sciences

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10.1007/978-3-030-12854-8_6

Cite this

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title = "Decision and inhibitory trees",

abstract = "In this chapter, we consider various types of decision and inhibitory trees. We discuss the notion of a cost function for trees, the notion of decision tree uncertainty, and the notion of inhibitory tree completeness. We consider also an algorithm for counting the number of decision trees represented by a directed acyclic graph.",

author = "Fawaz Alsolami and Mohammad Azad and Igor Chikalov and Mikhail Moshkov",

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doi = "10.1007/978-3-030-12854-8_6",

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TY - CHAP

T1 - Decision and inhibitory trees

AU - Alsolami, Fawaz

AU - Azad, Mohammad

AU - Chikalov, Igor

AU - Moshkov, Mikhail

PY - 2020

Y1 - 2020

N2 - In this chapter, we consider various types of decision and inhibitory trees. We discuss the notion of a cost function for trees, the notion of decision tree uncertainty, and the notion of inhibitory tree completeness. We consider also an algorithm for counting the number of decision trees represented by a directed acyclic graph.

AB - In this chapter, we consider various types of decision and inhibitory trees. We discuss the notion of a cost function for trees, the notion of decision tree uncertainty, and the notion of inhibitory tree completeness. We consider also an algorithm for counting the number of decision trees represented by a directed acyclic graph.

UR - http://www.scopus.com/inward/record.url?scp=85063736804&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-12854-8_6

DO - 10.1007/978-3-030-12854-8_6

M3 - Chapter

AN - SCOPUS:85063736804

T3 - Intelligent Systems Reference Library

SP - 91

EP - 103

BT - Intelligent Systems Reference Library

PB - Springer Science and Business Media Deutschland GmbH

ER -

Decision and inhibitory trees

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