Computational trust models and machine learning /
"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 var...
Clasificación: | Libro Electrónico |
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Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Boca Raton, FL :
CRC Press,
[2015]
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Colección: | Chapman & Hall/CRC machine learning & pattern recognition series.
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Temas: | |
Acceso en línea: | Texto completo Texto completo |
MARC
LEADER | 00000cam a2200000 i 4500 | ||
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245 | 0 | 0 | |a Computational trust models and machine learning / |c edited by Xin Liu, EPFL Lausanne, Switzerland, Anwitaman Datta, Nanyang Technological University Singapore, Ee-Peng Lim, Singapore Management University. |
264 | 1 | |a Boca Raton, FL : |b CRC Press, |c [2015] | |
264 | 4 | |c ©2015 | |
300 | |a 1 online resource (xxiv, 208 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Chapman & Hall/CRC machine learning & pattern recognition series | |
500 | |a "A Chapman & Hall book." | ||
520 | |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"-- |c Provided by publisher | ||
504 | |a Includes bibliographical references and index. | ||
588 | 0 | |a Print version record. | |
505 | 0 | |a 1. Introduction -- 2. Trust in online communities -- 3. Judging the veracity of claims and reliability of sources -- 4. Web credibility assessment -- 5. Trust-aware recommender systems -- 6. Biases in trust-based systems. | |
590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
650 | 0 | |a Computational intelligence. | |
650 | 0 | |a Machine learning. | |
650 | 0 | |a Truthfulness and falsehood |x Mathematical models. | |
650 | 6 | |a Intelligence informatique. | |
650 | 6 | |a Apprentissage automatique. | |
650 | 6 | |a Mensonge |x Modèles mathématiques. | |
650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
650 | 7 | |a Computational intelligence |2 fast | |
650 | 7 | |a Machine learning |2 fast | |
700 | 1 | |a Liu, Xin |c (Mathematician), |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjCM3Cww4jkGRcdkpmbw4q | |
700 | 1 | |a Datta, Anwitaman, |e editor. | |
700 | 1 | |a Lim, Ee-Peng, |e editor. | |
758 | |i has work: |a Computational trust models and machine learning (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFDr6r7Qrkrd7q7MFwFGDy |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version: |t Computational trust models and machine learning. |d Boca Raton : CRC Press, 2014 |z 9781482226669 |w (DLC) 2014028238 |w (OCoLC)884440170 |
830 | 0 | |a Chapman & Hall/CRC machine learning & pattern recognition series. | |
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