Classificação de uma classe (Portuguese Wikipedia)

Analysis of information sources in references of the Wikipedia article "Classificação de uma classe" in Portuguese language version.

refsWebsite

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14doi.org

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4nih.gov

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1psu.edu

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1rutgers.edu

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1springer.com

274^th place

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1nips.cc

low place

1tudelft.nl

7,640^th place

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1acm.org

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1harvard.edu

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1worldcat.org

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1books.google.com

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1umc.edu.dz

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1siam.org

low place

acm.org

dl.acm.org

Crammer, Koby (2004). «A needle in a haystack: local one-class optimization». ICML Proceedings of the Twenty-First International Conference on Machine Learning. 26 páginas. ISBN 9781581138382. doi:10.1145/1015330.1015399

books.google.com

Bishop, Christopher M.; Bishop, Professor of Neural Computing Christopher M. (23 de novembro de 1995). Neural Networks for Pattern Recognition (em inglês). [S.l.]: Clarendon Press. ISBN 9780198538646

doi.org

dx.doi.org

Oliveri P (agosto de 2017). «Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues - A tutorial». Analytica Chimica Acta. 982: 9–19. PMID 28734370. doi:10.1016/j.aca.2017.05.013
Japkowicz N (2001). «Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks» (PDF). Machine Learning. 42: 97–122. doi:10.1023/A:1007660820062
Crammer, Koby (2004). «A needle in a haystack: local one-class optimization». ICML Proceedings of the Twenty-First International Conference on Machine Learning. 26 páginas. ISBN 9781581138382. doi:10.1145/1015330.1015399
Moya, M.; Hush, D. (1996). «Network constraints and multi- objective optimization for one-class classification». Neural Networks. 9 (3): 463–474. doi:10.1016/0893-6080(95)00120-4
Rodionova OY, Oliveri P, Pomerantsev AL (15 de dezembro de 2016). «Rigorous and compliant approaches to one-class classification». Chemometrics and Intelligent Laboratory Systems. 159: 89–96. doi:10.1016/j.chemolab.2016.10.002
Khan, Shehroz S.; Madden, Michael G. (2010). Jill; Freyne, Lorcan, eds. «A Survey of Recent Trends in One Class Classification». Springer Berlin Heidelberg. Artificial Intelligence and Cognitive Science. Lecture Notes in Computer Science (em inglês). 6206: 188–197. ISBN 9783642170805. doi:10.1007/978-3-642-17080-5_21
Bugnon, L. A.; Yones, C.; Milone, D. H.; Stegmayer, G. (2020). «Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning». Oxford Bioinformatics. 22 (3). PMID 32814347. doi:10.1093/bib/bbaa184 Verifique o valor de |name-list-format=amp (ajuda)
Li, W.; Guo, Q.; Elkan, C. (fevereiro de 2011). «A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data». IEEE Transactions on Geoscience and Remote Sensing. 49 (2): 717–725. Bibcode:2011ITGRS..49..717L. ISSN 0196-2892. doi:10.1109/TGRS.2010.2058578
Ypma, Alexander; Duin, Robert P. W. (1998). Mikael; Bodén, Lars; Ziemke, eds. «Support objects for domain approximation». Springer London. Icann 98. Perspectives in Neural Computing (em inglês): 719–724. ISBN 9781447115991. doi:10.1007/978-1-4471-1599-1_110
Irigoien I, Sierra B, Arenas C (2014). «Towards application of one-class classification methods to medical data». TheScientificWorldJournal. 2014. 730712 páginas. PMC 3980920. PMID 24778600. doi:10.1155/2014/730712
Irigoien I, Arenas C (julho de 2008). «INCA: new statistic for estimating the number of clusters and identifying atypical units». Statistics in Medicine. 27 (15): 2948–73. PMID 18050154. doi:10.1002/sim.3143
Gözüaçık, Ömer; Can, Fazli (novembro de 2020). «Concept learning using one-class classifiers for implicit drift detection in evolving data streams». Artificial Intelligence Review. 54 (5): 3725–3747. doi:10.1007/s10462-020-09939-x. Consultado em 8 de dezembro de 2020
Krawczyk, Bartosz; Woźniak, Michał (2015). «One-class classifiers with incremental learning and forgetting for data streams with concept drift». Soft Computing. 19 (12): 3387–3400. doi:10.1007/s00500-014-1492-5

doi.org

Gözüaçık, Ömer; Can, Fazli (novembro de 2020). «Concept learning using one-class classifiers for implicit drift detection in evolving data streams». Artificial Intelligence Review. 54 (5): 3725–3747. doi:10.1007/s10462-020-09939-x. Consultado em 8 de dezembro de 2020

harvard.edu

ui.adsabs.harvard.edu

Li, W.; Guo, Q.; Elkan, C. (fevereiro de 2011). «A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data». IEEE Transactions on Geoscience and Remote Sensing. 49 (2): 717–725. Bibcode:2011ITGRS..49..717L. ISSN 0196-2892. doi:10.1109/TGRS.2010.2058578

nih.gov

ncbi.nlm.nih.gov

Oliveri P (agosto de 2017). «Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues - A tutorial». Analytica Chimica Acta. 982: 9–19. PMID 28734370. doi:10.1016/j.aca.2017.05.013
Bugnon, L. A.; Yones, C.; Milone, D. H.; Stegmayer, G. (2020). «Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning». Oxford Bioinformatics. 22 (3). PMID 32814347. doi:10.1093/bib/bbaa184 Verifique o valor de |name-list-format=amp (ajuda)
Irigoien I, Sierra B, Arenas C (2014). «Towards application of one-class classification methods to medical data». TheScientificWorldJournal. 2014. 730712 páginas. PMC 3980920. PMID 24778600. doi:10.1155/2014/730712
Irigoien I, Arenas C (julho de 2008). «INCA: new statistic for estimating the number of clusters and identifying atypical units». Statistics in Medicine. 27 (15): 2948–73. PMID 18050154. doi:10.1002/sim.3143

nips.cc

papers.nips.cc

«A Neural Network Autoassociator for Induction Motor Failure Prediction» (PDF). NIPS. 1996

psu.edu

citeseerx.ist.psu.edu

Japkowicz N, Myers C, Gluck M (1995). «A Novelty Detection Approach to Classification». IJCAI-95: 518–523. CiteSeerX 10.1.1.40.3663

rutgers.edu

rucore.libraries.rutgers.edu

Concept-Learning in the Absence of Counter-Examples:An Autoassociation-Based Approach to Classification (Tese)

siam.org

bookstore.siam.org

«Introduction to Applied Mathematics». SIAM Bookstore (em inglês). Consultado em 29 de abril de 2019

springer.com

link.springer.com

Japkowicz N (2001). «Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks» (PDF). Machine Learning. 42: 97–122. doi:10.1023/A:1007660820062

tudelft.nl

homepage.tudelft.nl

One-class classification: Concept-learning in the absence of counter-examples. (PDF) (Ph.D.)

umc.edu.dz

archives.umc.edu.dz

R, Ullman Neil (1 de janeiro de 2017). «Elementary statistics»

worldcat.org

Li, W.; Guo, Q.; Elkan, C. (fevereiro de 2011). «A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data». IEEE Transactions on Geoscience and Remote Sensing. 49 (2): 717–725. Bibcode:2011ITGRS..49..717L. ISSN 0196-2892. doi:10.1109/TGRS.2010.2058578