date: 2022-07-13T09:55:15Z pdf:PDFVersion: 1.5 pdf:docinfo:title: Systematic identification of relevant features for the statistical modeling of materials properties of crystalline solids xmp:CreatorTool: LaTeX with hyperref access_permission:can_print_degraded: true subject: Machine learning and materials science dc:format: application/pdf; version=1.5 pdf:docinfo:creator_tool: LaTeX with hyperref access_permission:fill_in_form: true pdf:encrypted: false dc:title: Systematic identification of relevant features for the statistical modeling of materials properties of crystalline solids modified: 2022-07-13T09:55:15Z cp:subject: Machine learning and materials science pdf:docinfo:subject: Machine learning and materials science pdf:docinfo:creator: Benjamin Regler PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.21 (TeX Live 2020/Arch Linux) kpathsea version 6.3.2 meta:author: Benjamin Regler trapped: False meta:creation-date: 2021-09-30T19:42:47Z created: 2021-09-30T19:42:47Z access_permission:extract_for_accessibility: true Creation-Date: 2021-09-30T19:42:47Z Author: Benjamin Regler producer: pdfTeX-1.40.21 pdf:docinfo:producer: pdfTeX-1.40.21 pdf:unmappedUnicodeCharsPerPage: 0 Keywords: Machine learning, materials science, information theory, feature selection, prediction uncertainty access_permission:modify_annotations: true dc:creator: Benjamin Regler dcterms:created: 2021-09-30T19:42:47Z Last-Modified: 2022-07-13T09:55:15Z dcterms:modified: 2022-07-13T09:55:15Z title: Systematic identification of relevant features for the statistical modeling of materials properties of crystalline solids Last-Save-Date: 2022-07-13T09:55:15Z pdf:docinfo:keywords: Machine learning, materials science, information theory, feature selection, prediction uncertainty pdf:docinfo:modified: 2022-07-13T09:55:15Z meta:save-date: 2022-07-13T09:55:15Z pdf:docinfo:custom:PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.21 (TeX Live 2020/Arch Linux) kpathsea version 6.3.2 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Benjamin Regler dc:subject: Machine learning, materials science, information theory, feature selection, prediction uncertainty access_permission:assemble_document: true xmpTPg:NPages: 238 pdf:charsPerPage: 331 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False meta:keyword: Machine learning, materials science, information theory, feature selection, prediction uncertainty access_permission:can_modify: true pdf:docinfo:created: 2021-09-30T19:42:47Z