LEADER 03300nam 2200517 450 001 996517753703316 005 20230729144157.0 010 $a3-031-26419-3 024 7 $a10.1007/978-3-031-26419-1 035 $a(MiAaPQ)EBC7216769 035 $a(Au-PeEL)EBL7216769 035 $a(CKB)26271466700041 035 $a(DE-He213)978-3-031-26419-1 035 $a(PPN)269092587 035 $a(EXLCZ)9926271466700041 100 $a20230729d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine learning and knowledge discovery in databases $eEuropean conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, proceedings, Part V /$fMassih-Reza Amini [and five others] 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer Nature Switzerland AG,$d[2023] 210 4$dİ2023 215 $a1 online resource (669 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13717 311 08$aPrint version: Amini, Massih-Reza Machine Learning and Knowledge Discovery in Databases Cham : Springer International Publishing AG,c2023 9783031264184 327 $aSupervised learning -- Probabilistic inference -- Optimal transport -- Optimization -- Quantum, hardware -- Sustainability. 330 $aThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13717 606 $aData mining$vCongresses 606 $aDatabases$vCongresses 606 $aMachine learning$vCongresses 615 0$aData mining 615 0$aDatabases 615 0$aMachine learning 676 $a006.31 700 $aAmini$b Massih-Reza$01060956 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996517753703316 996 $aMachine learning and knowledge discovery in databases$93406175 997 $aUNISA LEADER 02290nam 22004933 450 001 9910875600603321 005 20240708084507.0 010 $a9781800083820 010 $a1800083823 035 $a(MiAaPQ)EBC7390746 035 $a(Au-PeEL)EBL7390746 035 $a(CKB)32657854100041 035 $a(OCoLC)1446132192 035 $a(Exl-AI)7390746 035 $a(EXLCZ)9932657854100041 100 $a20240708d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMethods and Methodologies in Heritage Studies 205 $a1st ed. 210 1$aLondon :$cUCL Press,$d2024. 210 4$dİ2024. 215 $a1 online resource (188 pages) 311 08$a9781800083813 311 08$a1800083815 327 $aCover -- Half Title -- Title Page -- Series Information -- Copyright Page -- Contents -- List of contributors -- 1 Introduction: epistemic journeys -- Why heritage methods? -- What do we mean by heritage value and its methodologies? -- How to read and use this book -- Acknowledgements -- References and resources -- 2 On connecting -- 3 Documents and records -- Description and historiography -- Praxis -- Teaching -- Notes -- References and resources -- 4 On refusal (to record) -- References and resources -- 5 Archives and historiography -- Description and historiography -- Praxis -- Teaching -- References and resources -- Resources -- References -- 6 On commemorating$7Generated by AI. 330 $aThrough a diverse collection of expert voices, this volume invites readers to embark on their own journeys through appropriate methodologies for heritage research and public engagement. 606 $aSocial epistemology$7Generated by AI 606 $aInterdisciplinary approach in education$7Generated by AI 615 0$aSocial epistemology. 615 0$aInterdisciplinary approach in education. 676 $a363.69 700 $aKing$b Rachel$01187467 701 $aRico$b Trinidad$01750909 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910875600603321 996 $aMethods and Methodologies in Heritage Studies$94185674 997 $aUNINA