01154nam0 2200289 i 450 SUN010789720170215125626.9458-1-4939-1639-90.00N978-1-4939-1640-520170215d2015 |0engc50 baengUS|||| |||||The *Helmholtz Equation Least Squares MethodFor Reconstructing and Predicting Acoustic RadiationSean F. WuNew York : Springer, 2015xiii233 p. ; 24 cmPubblicazione in formato elettronico001SUN01078962001 *Modern Acoustics and Signal Processing210 New YorkSpringer.USNew YorkSUNL000011Wu, Sean F.SUNV083261720963SpringerSUNV000178650ITSOL20200921RICAhttp://link.springer.com/book/10.1007%2F978-1-4939-1640-5SUN0107897BIBLIOTECA CENTRO DI SERVIZIO SBA15CONS SBA EBOOK 589 15EB 589 20170215 Helmholtz Equation Least Squares Method1413030UNICAMPANIA02926oam 2200505 450 99646544950331620210530074618.03-030-64912-110.1007/978-3-030-64912-8(CKB)4100000011645248(DE-He213)978-3-030-64912-8(MiAaPQ)EBC6423162(PPN)252515544(EXLCZ)99410000001164524820210530d2020 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMachine 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 /Ulf Brefeld [and three others editors]1st ed. 2020.Cham, Switzerland :Springer,[2020]â„—20201 online resource (X, 141 p. 6 illus.) Communications in Computer and Information Science ;13243-030-64911-3 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 annotation.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.Communications in computer and information science ;1324.Machine learningCongressesData miningCongressesSportsData processingCongressesMachine learningData miningSportsData processing006.31Brefeld UlfMiAaPQMiAaPQUtOrBLWBOOK996465449503316Machine learning and data mining for sports analytics1949689UNISA