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1. |
Record Nr. |
UNINA9910711749603321 |
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Titolo |
American Space Situational Awareness and Framework for Entity Management Act : report (to accompany H.R. 6226) (including cost estimate of the Congressional Budget Office) |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : [U.S. Government Publishing Office], , [2018] |
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Descrizione fisica |
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1 online resource (volumes) |
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Collana |
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Report / 115th Congress, 2d session, House of Representatives ; ; 115-1106 |
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Soggetti |
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Space law |
National security - United States |
Legislative materials. |
Outer space |
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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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"December 22, 2018"--Pt. 1. |
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2. |
Record Nr. |
UNINA9910447243503321 |
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Titolo |
Machine Learning and Data Mining for Sports Analytics : 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (X, 141 p. 6 illus.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1324 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer engineering |
Computer networks |
Education - Data processing |
Social sciences - Data processing |
Artificial Intelligence |
Computer Engineering and Networks |
Computers and Education |
Computer Application in Social and Behavioral Sciences |
Computer Communication Networks |
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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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Routine Inspection: A playbook for corner kicks -- How data availability aects the ability to learngood xG models -- Low-cost optical tracking of soccer players -- An Autoencoder Based Approach to SimulateSports Games -- Physical performance optimization in football -- Predicting Player Trajectoriesin Shot Situations in Soccer -- Stats Aren't Everything: Learning Strengths andWeaknesses of Cricket Players -- Prediction of tiers in the rankingof ice hockey players -- A Machine Learning Approach for Road CyclingRace Performance Prediction -- Mining Marathon Training Data to GenerateUseful User Proles -- Learning from partially labeled sequences forbehavioral signal |
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Sommario/riassunto |
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This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation. |
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