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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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A note on generalization bounds for losses with finite momentsarXiv.org, 20242024. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.16681Full text available |
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Monotonic Mechanisms for Selling Multiple GoodsarXiv.org, 20222022. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2210.17150Full text available |
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Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research DirectionsarXiv.org, 20222022. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2208.03392Full text available |
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L'INTELLIGENCE ARTIFICIELLE AU CHEVET DES COLLECTIONS IMPRIMÉES : UN OUTIL D'ALERTE POUR LA CONSERVATION-RESTAURATIONBulletin des Bibliothèques de France, 2022Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0006-2006 ;EISSN: 1292-8399Full text available |
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Realistic Modeling of Human Timings for Wearable Cognitive AssistancearXiv.org, 20222022. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2212.06100Full text available |
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More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validityarXiv.org, 20242024. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.12214Full text available |
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Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta reviewarXiv.org, 20242024. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2111.12146Full text available |
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Just Another Day on Twitter: A Complete 24 Hours of Twitter DataarXiv.org, 20232023. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2301.11429Full text available |
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Can laypeople predict the replicability of social science studies without expert intervention: an exploratory studyarXiv.org, 20222022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2211.03555Full text available |
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Chaos Engineering of Ethereum Blockchain ClientsarXiv.org, 20212021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2111.00221Full text available |
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Characterizing Uncertainty in the Visual Text Analysis PipelinearXiv.org, 20222022. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2209.13498Full text available |
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Multi-Task Meta Learning: learn how to adapt to unseen tasksarXiv.org, 20232023. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2210.06989Full text available |
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A projection-based model reduction method for nonlinear mechanics with internal variables: application to thermo-hydro-mechanical systemsarXiv.org, 20212021. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2109.05786Full text available |
| 14 |
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An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position PaperarXiv.org, 20222022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2209.11534Full text available |
| 15 |
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LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object DetectionarXiv.org, 20202020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;Distributed under a Creative Commons Attribution 4.0 International License ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1911.01149Full text available |
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Rating Triggers for Collateral-Inclusive XVA via Machine Learning and SDEs on Lie GroupsarXiv.org, 20222022. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2211.00326Full text available |
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Unsupervised Discovery of Unaccusative and Unergative VerbsarXiv.org, 20212021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2111.00808Full text available |
| 18 |
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Convergence of a class of high order corrected trapezoidal rulesarXiv.org, 20222022. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2208.08216Full text available |
| 19 |
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Best Policy Identification in Linear MDPsarXiv.org, 20222022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2208.05633Full text available |
| 20 |
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A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groupsarXiv.org, 20222022. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2205.15699Full text available |
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