Hybrid random fields: a scalable approach to structure and parameter learning in probabilistic graphical models
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2011
|
| Schriftenreihe: | Intelligent systems reference library
15 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 FWS02 Volltext |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783642203084 |
| DOI: | 10.1007/978-3-642-20308-4 |
Internformat
MARC
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 435879 |
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| _version_ | 1824554197922611201 |
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| author | Freno, Antonino 1980- Trentin, Edmondo |
| author_GND | (DE-588)1017105448 (DE-588)1017105669 |
| author_facet | Freno, Antonino 1980- Trentin, Edmondo |
| author_role | aut aut |
| author_sort | Freno, Antonino 1980- |
| author_variant | a f af e t et |
| building | Verbundindex |
| bvnumber | BV040125050 |
| collection | ZDB-2-ENG |
| ctrlnum | (OCoLC)725206946 (DE-599)BVBBV040125050 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-642-20308-4 |
| format | Electronic eBook |
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| id | DE-604.BV040125050 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:47:57Z |
| institution | BVB |
| isbn | 9783642203084 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024982336 |
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| publishDate | 2011 |
| publishDateSearch | 2011 |
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| publisher | Springer |
| record_format | marc |
| series | Intelligent systems reference library |
| series2 | Intelligent systems reference library |
| spellingShingle | Freno, Antonino 1980- Trentin, Edmondo Hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models Intelligent systems reference library Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) |
| title | Hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models |
| title_auth | Hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models |
| title_exact_search | Hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models |
| title_full | Hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models Antonino Freno and Edmondo Trentin |
| title_fullStr | Hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models Antonino Freno and Edmondo Trentin |
| title_full_unstemmed | Hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models Antonino Freno and Edmondo Trentin |
| title_short | Hybrid random fields |
| title_sort | hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models |
| title_sub | a scalable approach to structure and parameter learning in probabilistic graphical models |
| topic | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) |
| topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) |
| url | https://doi.org/10.1007/978-3-642-20308-4 |
| volume_link | (DE-604)BV041145603 |
| work_keys_str_mv | AT frenoantonino hybridrandomfieldsascalableapproachtostructureandparameterlearninginprobabilisticgraphicalmodels AT trentinedmondo hybridrandomfieldsascalableapproachtostructureandparameterlearninginprobabilisticgraphicalmodels |