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1
Representation Learning for Natural Language Processing
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Representation Learning for Natural Language Processing

ISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182

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2
OWL2Vec: embedding of OWL ontologies
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OWL2Vec: embedding of OWL ontologies

Machine 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/s10994-021-05997-6

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3
Representation Learning for Natural Language Processing
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Book
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Representation Learning for Natural Language Processing

ISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;DOI: 10.1007/978-981-99-1600-9

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4
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media

ISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2

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5
A Primer on Neural Network Models for Natural Language Processing
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A Primer on Neural Network Models for Natural Language Processing

The 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.4992

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6
Neural information retrieval: at the end of the early years
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Article
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Neural information retrieval: at the end of the early years

Information 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-y

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7
Regularisation of neural networks by enforcing Lipschitz continuity
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Article
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Regularisation of neural networks by enforcing Lipschitz continuity

Machine 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-w

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8
A survey on semi-supervised learning
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A survey on semi-supervised learning

Machine 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/s10994-019-05855-6

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9
Scalable Bayesian preference learning for crowds
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Article
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Scalable Bayesian preference learning for crowds

Machine 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/s10994-019-05867-2

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10
High-dimensional Bayesian optimization using low-dimensional feature spaces
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Article
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High-dimensional Bayesian optimization using low-dimensional feature spaces

Machine 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-z

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11
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
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Article
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Machine 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/s10994-021-05946-3

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12
Natural Language Processing Fundamentals for Developers
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Book
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Natural Language Processing Fundamentals for Developers

ISBN: 1683926579 ;ISBN: 9781683926573 ;EISBN: 1683926560 ;EISBN: 9781683926566 ;OCLC: 1259321029 ;LCCallNum: Q325.5 .C36 2021

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13
Challenges of real-world reinforcement learning: definitions, benchmarks and analysis
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Article
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Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

Machine 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/s10994-021-05961-4

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14
Learning from positive and unlabeled data: a survey
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Article
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Learning from positive and unlabeled data: a survey

Machine 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/s10994-020-05877-5

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15
Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approach
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Article
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Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approach

Computing, 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/s00607-019-00745-0

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16
CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines
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Article
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CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines

Journal 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: 29186491

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17
Gradient descent optimizes over-parameterized deep ReLU networks
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Article
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Gradient descent optimizes over-parameterized deep ReLU networks

Machine 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/s10994-019-05839-6

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18
Live Event Detection for People's Safety using NLP and Deep Learning
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Article
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Live Event Detection for People's Safety using NLP and Deep Learning

IEEE 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: IAECCG

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19
Adaptive random forests for evolving data stream classification
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Article
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Adaptive random forests for evolving data stream classification

Machine 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/s10994-017-5642-8

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20
A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD)
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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: 27539197

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