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Material Type: Book
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Representation Learning for Natural Language ProcessingISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182Full text available |
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2 |
Material Type: Article
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OWL2Vec: embedding of OWL ontologiesMachine learning, 2021-07, Vol.110 (7), p.1813-1845 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05997-6Full text available |
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3 |
Material Type: Book
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Representation Learning for Natural Language ProcessingISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;DOI: 10.1007/978-981-99-1600-9Digital Resources/Online E-Resources |
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4 |
Material Type: Book
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating MediaISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2Digital Resources/Online E-Resources |
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5 |
Material Type: Article
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A Primer on Neural Network Models for Natural Language ProcessingThe Journal of artificial intelligence research, , Vol.57, p.345-420 [Peer Reviewed Journal]2016. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.4992Full text available |
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6 |
Material Type: Article
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Neural information retrieval: at the end of the early yearsInformation retrieval (Boston), 2018-06, Vol.21 (2-3), p.111-182 [Peer Reviewed Journal]The Author(s) 2017 ;Information Retrieval Journal is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1386-4564 ;EISSN: 1573-7659 ;DOI: 10.1007/s10791-017-9321-yFull text available |
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7 |
Material Type: Article
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Regularisation of neural networks by enforcing Lipschitz continuityMachine learning, 2021-02, Vol.110 (2), p.393-416 [Peer Reviewed Journal]The Author(s) 2020 ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05929-wFull text available |
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8 |
Material Type: Article
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A survey on semi-supervised learningMachine learning, 2020-02, Vol.109 (2), p.373-440 [Peer Reviewed Journal]The Author(s) 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05855-6Full text available |
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9 |
Material Type: Article
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Scalable Bayesian preference learning for crowdsMachine learning, 2020-04, Vol.109 (4), p.689-718 [Peer Reviewed Journal]The Author(s) 2020 ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05867-2Full text available |
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10 |
Material Type: Article
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High-dimensional Bayesian optimization using low-dimensional feature spacesMachine learning, 2020-09, Vol.109 (9-10), p.1925-1943 [Peer Reviewed Journal]The Author(s) 2020 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05899-zFull text available |
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11 |
Material Type: Article
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methodsMachine learning, 2021-03, Vol.110 (3), p.457-506 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05946-3Full text available |
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12 |
Material Type: Book
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Natural Language Processing Fundamentals for DevelopersISBN: 1683926579 ;ISBN: 9781683926573 ;EISBN: 1683926560 ;EISBN: 9781683926566 ;OCLC: 1259321029 ;LCCallNum: Q325.5 .C36 2021Full text available |
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13 |
Material Type: Article
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Challenges of real-world reinforcement learning: definitions, benchmarks and analysisMachine learning, 2021-09, Vol.110 (9), p.2419-2468 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05961-4Full text available |
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14 |
Material Type: Article
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Learning from positive and unlabeled data: a surveyMachine learning, 2020-04, Vol.109 (4), p.719-760 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05877-5Full text available |
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15 |
Material Type: Article
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Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approachComputing, 2020-02, Vol.102 (2), p.501-522 [Peer Reviewed Journal]Springer-Verlag GmbH Austria, part of Springer Nature 2019 ;Computing is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0010-485X ;EISSN: 1436-5057 ;DOI: 10.1007/s00607-019-00745-0Full text available |
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16 |
Material Type: Article
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CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelinesJournal of the American Medical Informatics Association : JAMIA, 2018-03, Vol.25 (3), p.331-336 [Peer Reviewed Journal]The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 ;The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocx132 ;PMID: 29186491Full text available |
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17 |
Material Type: Article
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Gradient descent optimizes over-parameterized deep ReLU networksMachine learning, 2020-03, Vol.109 (3), p.467-492 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05839-6Full text available |
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18 |
Material Type: Article
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Live Event Detection for People's Safety using NLP and Deep LearningIEEE access, 2024-01, Vol.12, p.1-1 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3349097 ;CODEN: IAECCGFull text available |
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19 |
Material Type: Article
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Adaptive random forests for evolving data stream classificationMachine learning, 2017-10, Vol.106 (9-10), p.1469-1495 [Peer Reviewed Journal]The Author(s) 2017 ;Machine Learning is a copyright of Springer, 2017. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5642-8Full text available |
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20 |
Material Type: Article
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A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD)Journal of the American Medical Informatics Association : JAMIA, 2017-04, Vol.24 (e1), p.e79-e86 [Peer Reviewed Journal]The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2016 ;The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocw109 ;PMID: 27539197Full text available |