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On Learning Probabilistic Partial Lexicographic Preference Trees

Research output: Chapter or Contribution to BookLiterary contribution

Original languageEnglish
Title of host publicationProceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021
EditorsM. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin
Pages286-291
Number of pages6
ISBN (Electronic)9781665443371
DOIs
StatePublished - 2021
Event20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021 - Virtual, Online, United States
Duration: Dec 13 2021Dec 16 2021

Publication series

NameProceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021

Conference

Conference20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021
Country/TerritoryUnited States
CityVirtual, Online
Period12/13/2112/16/21

ASJC Scopus Subject Areas

  • Safety, Risk, Reliability and Quality
  • Health Informatics
  • Artificial Intelligence
  • Computer Science Applications

Keywords

  • Lexicographic Preference Trees
  • Preference Learning
  • Probabilistic Preference Models

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