01094nam a2200289 i 450099100060972970753620020509172855.0960105s1979 it ||| | ita 8835936357b11383793-39ule_instPARLA211822ExLDip.to FilosofiaitaGnedenko, Boris Vladimirovic47229Teoria della probabilità /Boris Vladimirovic Gnedenko ; traduzione di Gabriella Grosso e Carlotta MaffeiMosca :Edizioni Mir ; Roma : Editori Riuniti,1979391 p. ;22 cm.Nuova biblioteca di cultura ;195 nuovaTeoria della probabilitàGrosso, GabriellaMaffei, CarlottaKurs teorii verojatnostej.b1138379301-03-1701-07-02991000609729707536LE005 MF 40 B 3812005000202902le005-E0.00-l- 00000.i1156790901-07-02Kurs teorii verojatnostej54287UNISALENTOle00501-01-96ma -itait 0101318nam 2200373 450 991070812830332120130131084716.0(CKB)4970000000028585(OCoLC)826121558(EXLCZ)99497000000002858520130131d2012 ua 0engurmn|||||||||rdacontentrdamediardacarrierFederal Employees' Compensation Act analysis of proposed changes on USPS beneficiaries /Andrew SherrillWashington, DC :United States Government Accountability Office,2012.1 online resource (23 pages) color illustrationsTitle from title screen (viewed Jan. 28, 2013)."November 26, 2012.""GAO-13-142R."Includes bibliographical references.Federal Employees' Compensation ActDisability retirementLaw and legislationUnited StatesDisability retirementLaw and legislationSherrill Andrew1388656United States.Government Accountability Office,GPOGPODOCUMENT9910708128303321Federal Employees' Compensation Act3453848UNINA04333nam 22007695 450 991074248600332120230828200335.09783031430886303143088310.1007/978-3-031-43088-6(MiAaPQ)EBC30722847(Au-PeEL)EBL30722847(DE-He213)978-3-031-43088-6(PPN)272262218(CKB)28100246800041(OCoLC)1396224821(EXLCZ)992810024680004120230828d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierWeb Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25–27, 2022, Revised Selected Papers /edited by Massimo Marchiori, Francisco José Domínguez Mayo, Joaquim Filipe1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (272 pages)Lecture Notes in Business Information Processing,1865-1356 ;494Print version: Marchiori, Massimo Web Information Systems and Technologies Cham : Springer,c2023 9783031430879 Automated SLR with a Few Labeled Papers and a Fair Workload Metric -- Shift Toward Value-Based Learning: Applying Agile Approaches in Higher Education -- Improving the Representation Choices of Privacy Policies for End-Users -- Scaolding Process-Aware Information Systems with the AKIP Platform -- Grammar-Based Question Classication Using Ensemble Learning Algorithms -- Leveraging Transfer Learning for Long Text Classication with Limited Data -- Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers -- Soft Web Intelligence with the J-CO Framework -- An NLP Approach to Understand the Top Ranked Higher Education Institutions' Social Media Communication Strategy -- In uence of Demographic Variables and Usage Behaviour on the Perceived User Experience -- Categorizing UX Aspects for Voice User Interfaces Using the Kano Model -- How We Evaluate the Accessibility of an Infographic: A Pilot Study Through SUS Questionnaire -- Evaluating the Quality Characteristics of Space Geeks.This book constitutes revised selected papers from the 18th International Conference on Web Information Systems and Technologies, WEBIST 2022, which took place in Valletta, Malta, in October 2022. The 13 full revised papers presented in this book were carefully reviewed and selected from a total of 62 submissions. The selected papers contribute to the understanding of relevant current research trends in Web information systems and technologies, including deep learning, knowledge representation and reasoning, recommender systems, internet of things, Web intelligence and big data.Lecture Notes in Business Information Processing,1865-1356 ;494Information technologyManagementBusiness information servicesData miningMachine learningArtificial intelligenceSocial mediaComputer Application in Administrative Data ProcessingIT in BusinessData Mining and Knowledge DiscoveryMachine LearningArtificial IntelligenceSocial MediaInformation technologyManagement.Business information services.Data mining.Machine learning.Artificial intelligence.Social media.Computer Application in Administrative Data Processing.IT in Business.Data Mining and Knowledge Discovery.Machine Learning.Artificial Intelligence.Social Media.005.3Marchiori Massimo1423839Domínguez Mayo Francisco José1423840Filipe Joaquim1372771MiAaPQMiAaPQMiAaPQBOOK9910742486003321Web Information Systems and Technologies3552433UNINA