Computational trust models and machine learning:
Gespeichert in:
Weitere beteiligte Personen: | , , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Boca Raton
Taylor & Francis
[2015]
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Schriftenreihe: | Chapman & Hall/CRC machine learning & pattern recognition series
|
Schlagwörter: | |
Links: | https://doi.org/10.1201/b17778 https://doi.org/10.1201/b17778 |
Beschreibung: | Includes bibliographical references and index "This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various learning algorithms, such as linear regression, matrix decomposition, and decision trees, illustrates how to translate the trust modeling problem into a (supervised) learning problem. The book also shows how novel machine learning techniques can improve the accuracy of trust assessment compared to traditional approaches"-- |
Umfang: | 1 Online-Ressource (227 pages) |
ISBN: | 9781482226676 9780429159480 |
Internformat
MARC
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490 | 0 | |a Chapman & Hall/CRC machine learning & pattern recognition series | |
500 | |a Includes bibliographical references and index | ||
500 | |a "This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various learning algorithms, such as linear regression, matrix decomposition, and decision trees, illustrates how to translate the trust modeling problem into a (supervised) learning problem. The book also shows how novel machine learning techniques can improve the accuracy of trust assessment compared to traditional approaches"-- | ||
650 | 4 | |a Mathematisches Modell | |
650 | 4 | |a Computational intelligence | |
650 | 4 | |a Machine learning | |
650 | 4 | |a Truthfulness and falsehood |x Mathematical models | |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
653 | |a Electronic books | ||
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689 | 0 | |5 DE-604 | |
700 | 1 | |a Liu, Xin |0 (DE-588)1069853836 |4 edt | |
700 | 1 | |a Datta, Anwitaman |4 edt | |
700 | 1 | |a Lim, Ee-Peng |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-1-4822-2666-9 |
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author2 | Liu, Xin Datta, Anwitaman Lim, Ee-Peng |
author2_role | edt edt edt |
author2_variant | x l xl a d ad e p l epl |
author_GND | (DE-588)1069853836 |
author_facet | Liu, Xin Datta, Anwitaman Lim, Ee-Peng |
building | Verbundindex |
bvnumber | BV042404373 |
classification_rvk | ST 300 |
collection | ZDB-38-EBR ZDB-7-TFC |
ctrlnum | (OCoLC)894169847 (DE-599)BVBBV042404373 |
dewey-full | 006.3/1 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/1 |
dewey-search | 006.3/1 |
dewey-sort | 16.3 11 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | DE-604.BV042404373 |
illustrated | Not Illustrated |
indexdate | 2024-12-20T17:10:14Z |
institution | BVB |
isbn | 9781482226676 9780429159480 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027840002 |
oclc_num | 894169847 |
open_access_boolean | |
owner | DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
owner_facet | DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (227 pages) |
psigel | ZDB-38-EBR ZDB-7-TFC |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Taylor & Francis |
record_format | marc |
series2 | Chapman & Hall/CRC machine learning & pattern recognition series |
spelling | Computational trust models and machine learning edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim Boca Raton Taylor & Francis [2015] 1 Online-Ressource (227 pages) txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC machine learning & pattern recognition series Includes bibliographical references and index "This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various learning algorithms, such as linear regression, matrix decomposition, and decision trees, illustrates how to translate the trust modeling problem into a (supervised) learning problem. The book also shows how novel machine learning techniques can improve the accuracy of trust assessment compared to traditional approaches"-- Mathematisches Modell Computational intelligence Machine learning Truthfulness and falsehood Mathematical models Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Electronic books Maschinelles Lernen (DE-588)4193754-5 s DE-604 Liu, Xin (DE-588)1069853836 edt Datta, Anwitaman edt Lim, Ee-Peng edt Erscheint auch als Druck-Ausgabe, Hardcover 978-1-4822-2666-9 |
spellingShingle | Computational trust models and machine learning Mathematisches Modell Computational intelligence Machine learning Truthfulness and falsehood Mathematical models Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4193754-5 |
title | Computational trust models and machine learning |
title_auth | Computational trust models and machine learning |
title_exact_search | Computational trust models and machine learning |
title_full | Computational trust models and machine learning edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim |
title_fullStr | Computational trust models and machine learning edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim |
title_full_unstemmed | Computational trust models and machine learning edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim |
title_short | Computational trust models and machine learning |
title_sort | computational trust models and machine learning |
topic | Mathematisches Modell Computational intelligence Machine learning Truthfulness and falsehood Mathematical models Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Mathematisches Modell Computational intelligence Machine learning Truthfulness and falsehood Mathematical models Maschinelles Lernen |
work_keys_str_mv | AT liuxin computationaltrustmodelsandmachinelearning AT dattaanwitaman computationaltrustmodelsandmachinelearning AT limeepeng computationaltrustmodelsandmachinelearning |