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1. |
Record Nr. |
UNISA996466325903316 |
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Titolo |
Artificial Neural Networks and Machine Learning – ICANN 2018 [[electronic resource] ] : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III / / edited by Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XXIX, 846 p. 311 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 11141 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer vision |
Computer engineering |
Computer networks |
Data protection |
Algorithms |
Artificial Intelligence |
Computer Vision |
Computer Engineering and Networks |
Computer Communication Networks |
Data and Information Security |
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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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Sommario/riassunto |
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This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State |
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Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning. |
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2. |
Record Nr. |
UNINA9910164975703321 |
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Autore |
Reader Capitol |
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Titolo |
Summary of Flying High |
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Pubbl/distr/stampa |
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Cork, : Primento Digital, 2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (21 p.) |
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Disciplina |
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Soggetti |
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Conservatism - United States |
Third parties (United States politics) |
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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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Description based upon print version of record. |
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Nota di contenuto |
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Title page; Book Presentation; Book Abstract; About the Author; Important Note About This Ebook; Summary of Flying High (William F. Buckley, Jr.); Stirrings in Chicago; A Figure in the Shadows; The Conservative Bible; Building a National Reputation; The Campaign Begins; A Turning Point; After California; Dissent in San Francisco; "Extremism" is Always a Bad Word; The Ghost of JFK; The Eve of Disaster; Reagan: A Fresh Star; Reflection; Later Years; Buy the Book; About the Summary Publisher; Copyright |
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Sommario/riassunto |
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This ebook consists of a summary of the ideas, viewpoints and facts presented by William F. Buckley, Jr. in his book "Flying High: Remembering Barry Goldwater". This summary offers a concise overview of the entire book in less than 30 minutes reading time. However this work does not replace in any case William F. Buckley's, Jr. book.<br>Buckley recalls the success and the mistakes made during the Goldwater quest for the White House. <br> |
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