Voting-based ensemble learning for partial lexicographic preference forests over combinatorial domains

Xudong Liu; Miroslaw Truszczynski

doi:10.1007/s10472-019-09645-7

Voting-based ensemble learning for partial lexicographic preference forests over combinatorial domains

Xudong Liu, Miroslaw Truszczynski

School of Computing

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	137-155
Number of pages	19
Journal	Annals of Mathematics and Artificial Intelligence
Volume	87
Issue number	1-2
DOIs	https://doi.org/10.1007/s10472-019-09645-7
State	Published - Oct 1 2019

ASJC Scopus Subject Areas

Artificial Intelligence
Applied Mathematics

Keywords

Computational complexity theory
Lexicographic preference models
Maximum satisfiability
Preference learning
Preference modeling and reasoning
Social choice theory
Voting theory

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10.1007/s10472-019-09645-7

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title = "Voting-based ensemble learning for partial lexicographic preference forests over combinatorial domains",

keywords = "Computational complexity theory, Lexicographic preference models, Maximum satisfiability, Preference learning, Preference modeling and reasoning, Social choice theory, Voting theory",

author = "Xudong Liu and Miroslaw Truszczynski",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.",

year = "2019",

month = oct,

day = "1",

doi = "10.1007/s10472-019-09645-7",

language = "English",

volume = "87",

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AU - Liu, Xudong

AU - Truszczynski, Miroslaw

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Y1 - 2019/10/1

KW - Computational complexity theory

KW - Lexicographic preference models

KW - Maximum satisfiability

KW - Preference learning

KW - Preference modeling and reasoning

KW - Social choice theory

KW - Voting theory

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JO - Annals of Mathematics and Artificial Intelligence

JF - Annals of Mathematics and Artificial Intelligence

IS - 1-2

ER -

Voting-based ensemble learning for partial lexicographic preference forests over combinatorial domains

ASJC Scopus Subject Areas

Keywords

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