Knowledge guided machine learning: accelerating discovery using scientific knowledge and data
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2023
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| Schriftenreihe: | Chapman and Hall/CRC Data Mining and Knowledge Discovery Series
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| Schlagworte: | |
| Online-Zugang: | TUM01 |
| Beschreibung: | 1 Online-Ressource (xi, 429 Seiten) Illustrationen |
| ISBN: | 9781000598131 9781003143376 |
Internformat
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| 245 | 1 | 0 | |a Knowledge guided machine learning |b accelerating discovery using scientific knowledge and data |c edited by Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar |
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c 2023 | |
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| 776 | 0 | 8 | |i Erscheint auch als |a Karpatne, Anuj |t Knowledge Guided Machine Learning |d Milton : CRC Press LLC,c2022 |n Druck-Ausgabe, Paperback |z 978-0-367-69820-1 |
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Datensatz im Suchindex
| _version_ | 1804184627237093376 |
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| author2 | Karpatne, Anuj Kannan, Ramakrishnan Kumar, Vipin 1956- |
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| author_GND | (DE-588)1068935294 |
| author_facet | Karpatne, Anuj Kannan, Ramakrishnan Kumar, Vipin 1956- |
| building | Verbundindex |
| bvnumber | BV048590198 |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV048590198 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:07:15Z |
| indexdate | 2024-07-10T09:42:21Z |
| institution | BVB |
| isbn | 9781000598131 9781003143376 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033965911 |
| oclc_num | 1334105475 |
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| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xi, 429 Seiten) Illustrationen |
| psigel | ZDB-30-PQE ZDB-30-PQE TUM_PDA_PQE_Kauf |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| series2 | Chapman and Hall/CRC Data Mining and Knowledge Discovery Series |
| spelling | Karpatne, Anuj edt Knowledge guided machine learning accelerating discovery using scientific knowledge and data edited by Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2023 1 Online-Ressource (xi, 429 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Chapman and Hall/CRC Data Mining and Knowledge Discovery Series Electronic books Kannan, Ramakrishnan edt Kumar, Vipin 1956- (DE-588)1068935294 edt Erscheint auch als Karpatne, Anuj Knowledge Guided Machine Learning Milton : CRC Press LLC,c2022 Druck-Ausgabe, Hardcover 978-0-367-69341-1 Erscheint auch als Karpatne, Anuj Knowledge Guided Machine Learning Milton : CRC Press LLC,c2022 Druck-Ausgabe, Paperback 978-0-367-69820-1 |
| spellingShingle | Knowledge guided machine learning accelerating discovery using scientific knowledge and data |
| title | Knowledge guided machine learning accelerating discovery using scientific knowledge and data |
| title_auth | Knowledge guided machine learning accelerating discovery using scientific knowledge and data |
| title_exact_search | Knowledge guided machine learning accelerating discovery using scientific knowledge and data |
| title_exact_search_txtP | Knowledge guided machine learning accelerating discovery using scientific knowledge and data |
| title_full | Knowledge guided machine learning accelerating discovery using scientific knowledge and data edited by Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar |
| title_fullStr | Knowledge guided machine learning accelerating discovery using scientific knowledge and data edited by Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar |
| title_full_unstemmed | Knowledge guided machine learning accelerating discovery using scientific knowledge and data edited by Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar |
| title_short | Knowledge guided machine learning |
| title_sort | knowledge guided machine learning accelerating discovery using scientific knowledge and data |
| title_sub | accelerating discovery using scientific knowledge and data |
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