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1. |
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UNISA996386023703316 |
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Titolo |
An act of this present Parliament for the alteration of several names and forms heretofore used in courts, vvrits, grants, patents, &c [[electronic resource] ] : and settling of proceedings in courts of law, iustice and equity within the kingdoms of England and Ireland, dominion of Wales, and town of Berwick upon Tweed |
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Pubbl/distr/stampa |
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[London, : printed for Edward Husband, printer to the Honorable House of Commons, Jan. 30. 1648 [i.e. 1649]] |
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Descrizione fisica |
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Soggetti |
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Procedure (Law) - England |
Writs - England |
Forms (Law) - England |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Last word of first line of text: 'this'; first word of line below initial: 'all'; last word of last full line of text: 'heretofore'. |
Text in black letter. |
Imprint from colophon. |
Also issued as part of a through-paged folio set with a table for the entire set added at beginning of item. |
With an order to print dated January 29, 1648 [i.e. 1649]. Lambert has order to print date as Jan. 27, title agreed on Jan. 29. |
Signatures: A² . |
Reproductions of the originals in the British Library (Thomason Tracts) and the Cambridge University Library (Early English books). |
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2. |
Record Nr. |
UNINA9910484798603321 |
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Titolo |
Biomimetic and Biohybrid Systems : 6th International Conference, Living Machines 2017, Stanford, CA, USA, July 26–28, 2017, Proceedings / / edited by Michael Mangan, Mark Cutkosky, Anna Mura, Paul F.M.J. Verschure, Tony Prescott, Nathan Lepora |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XVIII, 645 p. 328 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 10384 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Image processing - Digital techniques |
Computer vision |
Computer science |
Data mining |
Control engineering |
Robotics |
Automation |
Artificial Intelligence |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Theory of Computation |
Data Mining and Knowledge Discovery |
Control, Robotics, Automation |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Neuromorphic computing -- Comparative biomechanics and physiology -- Use of robots to explain adaptive intelligence of biological systems -- Bioinspired manufacturing, materials and robotics -- Soft robotics, humanoid robotics, and neurodevelopmental engineering -- Advances in soft robotics -- 3D-printed bio-machines -- Robots and society -- Biomimetic vision and control -- Utility and limites of deep learning for biorobotics -- Collective and emergents |
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behaviours in animals and robots -- Bioinspired flight. |
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This book constitutes the proceedings of the 6th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2017, held in Stanford, CA, USA, in July 2017. The 42 full and 19 short papers presented in this volume were carefully reviewed and selected from 63 submissions. The theme of the conference encompasses biomimetic methods for manufacture, repair and recycling inspired by natural processes such as reproduction, digestion, morphogenesis and metamorphosis. |
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3. |
Record Nr. |
UNINA9910739458903321 |
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Titolo |
Machine Learning and Knowledge Extraction : 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 – September 1, 2023, Proceedings / / edited by Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar Weippl |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (335 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 14065 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Software engineering |
Database management |
Data mining |
Information storage and retrieval systems |
Machine theory |
Artificial Intelligence |
Software Engineering |
Database Management |
Data Mining and Knowledge Discovery |
Information Storage and Retrieval |
Formal Languages and Automata Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Controllable AI - An alternative to trustworthiness in complex AI systems? -- Efficient approximation of Asymmetric Shapley Values using Functional Decomposition -- Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition -- Human-in-the-Loop Integration of Domain-Knowledge Graphs for Explainable and Federated Deep Learning -- The Tower of Babel in explainable Artificial Intelligence (XAI) -- Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data -- Transformers are Short-text Classifiers -- Reinforcement Learning with Temporal-Logic-Based Causal Diagrams -- Using Machine Learning to Generate an ESG Dictionary -- Let me think! Investigating the effect of explanations feeding doubts about the AI advice -- Enhancing Trust in Machine Learning Systems by Formal Methods -- Sustainability Effects of Robust and Resilient Artificial Intelligence -- The Split Matters: Flat Minima Methodsfor Improving the Performance of GNNs -- Probabilistic framework based on Deep Learning for differentiating ultrasound movie view planes -- Standing Still is Not An Option: Alternative Baselines for Attainable Utility Preservation -- Memorization of Named Entities in Fine-tuned BERT Models -- Event and Entity Extraction from Generated Video Captions -- Fine-Tuning Language Models for Scientific Writing Support. |
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Sommario/riassunto |
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This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023. The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security. |
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