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1. |
Record Nr. |
UNINA990001302790403321 |
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Autore |
Schervish, Mark J. |
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Titolo |
Theory of statistics / Mark J. Schervish |
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Pubbl/distr/stampa |
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New York [etc.] : Springer, [1997] |
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ISBN |
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Edizione |
[Corrected 2nd printing] |
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Descrizione fisica |
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xvi, 702 p. : ill. ; 24 cm |
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Collana |
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Springer series in statistics |
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Disciplina |
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Locazione |
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Collocazione |
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MAI-62-003 |
MAI-62-004 |
MAI-62-002 |
MAI-62-005 |
MAI-62-040 |
MAI-62-006 |
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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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Note generali |
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Corrected second printing of the first edition 1995 |
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2. |
Record Nr. |
UNINA9910728935103321 |
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Autore |
Maglogiannis Ilias |
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Titolo |
Artificial Intelligence Applications and Innovations : 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14–17, 2023, Proceedings, Part II / / edited by Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Manuel Dominguez |
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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 (599 pages) |
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Collana |
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IFIP Advances in Information and Communication Technology, , 1868-422X ; ; 676 |
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Altri autori (Persone) |
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IliadisLazaros |
MacintyreJohn |
DomínguezManuel |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer engineering |
Computer networks |
Computers |
Social sciences - Data processing |
Artificial Intelligence |
Computer Engineering and Networks |
Computing Milieux |
Computer Communication Networks |
Computer Application in Social and Behavioral Sciences |
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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 contenuto |
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Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial) -- Agents/Case Based Reasoning/Sentiment Analysis -- Biomedical - Image Analysis -- CNN - Convolutional Neural Networks YOLO CNN -- Cyber Security/Anomaly Detection -- Explainable AI/Social Impact of AI -- Graph Neural Networks/Constraint Programming -- IoT/Fuzzy Modeling/Augmented Reality -- LEARNING (Active-AutoEncoders-Federated) -- Machine |
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Learning -- Natural Language -- Optimization-Genetic Programming -- Robotics -- Spiking NN -- and Text Mining /Transfer Learning. . |
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Sommario/riassunto |
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This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning. . |
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