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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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3. |
Record Nr. |
UNINA9910733728903321 |
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Autore |
Saikia Hemanta |
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Titolo |
Cricket Performance Management : Mathematical Formulation and Analytics / / by Hemanta Saikia, Dibyojyoti Bhattacharjee, Diganta Mukherjee |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (246 pages) |
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Collana |
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Indian Statistical Institute Series, , 2523-3114 |
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Disciplina |
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Soggetti |
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Statistics |
Popular Science in Statistics |
Statistics, general |
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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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Chapter 1. Cricket, Statistics and Data Mining -- Chapter 2. Franchisee Cricket and Cricketer’s Auction -- Chapter 3. Quantifying Performance of Cricketers -- Chapter 4. Fielding Performance Measure: Issues, Concern and Solution -- Chapter 5. Performance Based Market Valuation of Players -- Chapter 6. Impact of Age on Performance of Cricketers -- Chapter 7. Performing Under Difficulty: The Magical Pressure Index -- Chapter 8. Decision Making Approaches to Optimum Team Selection. |
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Sommario/riassunto |
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This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most popular format of the game. The book highlights the performance quantification of cricketers (batsmen, bowlers, all-rounders, and wicket keepers), determining the market valuation of cricketers based on their on-field performances and the effect of age on the performance of the cricketers. It also provides a comprehensive overview of the different aspects of the game where quantitative techniques are beneficial, and highlights the use of statistical and data mining tools in analysing sports-related data and objective decision- |
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making in sports. The book appeals to a wide readership, including postgraduate students of statistics/mathematics, data analysts, sports management bodies. It also offers data miners, such as researchers in statistics, mathematics, operations research, and computer science ideas for projects. |
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