01562nam0 2200349 i 450 SUN010410120151209094156.8638-3-319-12162-80.00N978-3-319-12163-520151209d2014 |0engc50 baengCH|||| |||||*Machine learning in medicine-Cookbook threeTon J. Cleophas, Aeilko H. ZwindermanCham : Springer, 2014XIII131 p.ill. ; 24 cmPubblicazione in formato elettronico001SUN01029162001 *SpringerBriefs in statistics210 BerlinSpringer2011-.62B10Statistical aspects of information-theoretic topics [MSC 2020]MFSUNC02120892BxxMathematical biology in general [MSC 2020]MFSUNC02146762P10Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]MFSUNC02464994A15Information theory (general) [MSC 2020]MFSUNC025063CHChamSUNL001889Cleophas, Ton J.SUNV080615472359Zwinderman, Aeilko H.SUNV080616721640SpringerSUNV000178650ITSOL20201026RICAhttp://dx.doi.org/10.1007/978-3-319-12163-5SUN0104101BIBLIOTECA CENTRO DI SERVIZIO SBA15CONS SBA EBOOK 4473 15EB 4473 20191106 Machine learning in medicine-Cookbook three1409929UNICAMPANIA01152nam 2200397 450 991040973610332120221009173640.01-83962-909-6(CKB)4100000011335633(NjHacI)994100000011335633(EXLCZ)99410000001133563320221009d2020 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierMelatonin The Hormone of Darkness and its Therapeutic Potential and Perspectives /edited by Marilena Vlachou, Tomasz BrzozowskLondon :IntechOpen,2020.1 online resource (156 pages) illustrationsPhysiology1-83962-908-8 Includes bibliographical references.Physiology.Melatonin MelatoninMelatonin.612.4Brzozowsk TomaszVlachou MarilenaNjHacINjHaclBOOK9910409736103321Melatonin2951504UNINA02502nam0 22005533i 450 VAN0024915520240806101417.657N978303028669920220805d2020 |0itac50 baengCH|||| |||||Forecasting and Assessing Risk of Individual Electricity PeaksMaria Jacob, Cláudia Neves, Danica Vukadinović GreethamChamSpringer2020xii, 97 p.ill.24 cm001VAN001237532001 SpringerBriefs in Mathematics of Planet Earth. Weather, Climate, Oceans210 Cham [etc.]SpringerVAN00249160Forecasting and Assessing Risk of Individual Electricity Peaks290250386-XXGeophysics [MSC 2020]VANC023269MF86A25Geo-electricity and geomagnetism [MSC 2020]VANC022117MFBlock maxima methods in statistics of extremesKW:KElectricity forecastingKW:KEnd-point estimationKW:KError measuresKW:KExtreme value theoryKW:KForecasting individual electricity peaksKW:KHeteroscedasticityKW:KIndividual electricity peaksKW:KLong Short Term Memory (LSTM)KW:KMulti-layer Perceptron (MLP)KW:KPermutation mergeKW:KPermutation-based algorithmsKW:KPermutation-based errorsKW:KRisk of individual electricity peaksKW:KSARIMA modelsKW:KScedasisKW:KShort-term load forecastKW:KCHChamVANL001889JacobMariaVANV203819985113GreethamDanica VukadinovićVANV2038211252019NevesCláudiaVANV2038201252020Springer <editore>VANV108073650ITSOL20241115RICAhttp://doi.org/10.1007/978-3-030-28669-9E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00249155BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 4657 08eMF4657 20220805 Forecasting and Assessing Risk of Individual Electricity Peaks2902503UNICAMPANIA