A third proceeding in the harmonie of King Dauids harp [[electronic resource] ] : that is to say, a godly and learned exposition vpon 17. Psalmes moe of the princely prophet Dauid, beginning with the 45. and ending with the 61. Psalme: done in Latine by the learned Reuerend Doctor Victorinus Strigelius, Professor of Diuinitie in the Vniuersitie of Lypsia in Germanie, anno Christi, 1562. Translated into English, by Richard Robinson citizen of London. An. Christi, 1595. Seene, perused, and allowed

• Record Nr.: UNISA996391380203316
• Autore: Strigel Victorinus <1524-1569.>
• Pubbl/distr/stampa: At London, : Printed by Valentine Sims, Anno Dom. 1595
• Descrizione fisica: [8], 155, 154-156, [2] p
• Altri autori (Persone): RobinsonRichard, citizen of London
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: A translation of Psalms 45-61 of: Hypomnēmata in omnes Psalmos Davidis.; Printed "at the charges of Richard Banckworth", according to Robinson's manuscript "Eupolemia"; see "The Library", XI (1930), p. 177.; The first leaf and the last leaf are blank.; Reproduction of the original in Cambridge University Library.
• Sommario/riassunto: eebo-0021

Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part VI / / edited by Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

• Record Nr.: UNINA9911046552303321
• Autore: Ribeiro Rita P
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• ISBN: 3-032-06106-7
• Edizione: [1st ed. 2026.]
• Descrizione fisica: 1 online resource (981 pages)
• Collana: Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 16018
• Altri autori (Persone): PfahringerBernhard; JapkowiczNathalie; LarrañagaPedro; JorgeAlípio M; SoaresCarlos; AbreuPedro H; GamaJoão
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Computer networks; Computers; Image processing - Digital techniques; Computer vision; Software engineering; Artificial Intelligence; Computer Communication Networks; Computing Milieux; Computer Imaging, Vision, Pattern Recognition and Graphics; Software Engineering
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Sommario/riassunto: This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the ; refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 15–19, 2025. The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks: The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, ...), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social Networks The Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks.