04576nam 22007575 450 99651775240331620230428191334.03-031-26422-310.1007/978-3-031-26422-1(CKB)5580000000525095(DE-He213)978-3-031-26422-1(EXLCZ)99558000000052509520230317d2023 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMachine Learning and Knowledge Discovery in Databases[electronic resource] European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part VI /edited by Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (XLVIII, 669 p. 205 illus., 191 illus. in color.) Lecture Notes in Artificial Intelligence,2945-9141 ;137183-031-26421-5 Time series -- Financial machine learning -- Applications -- Applications: transportation -- Demo track.The 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.Lecture Notes in Artificial Intelligence,2945-9141 ;13718Artificial intelligenceComputersComputer engineeringComputer networksImage processing—Digital techniquesComputer visionSoftware engineeringSocial sciences—Data processingArtificial IntelligenceComputing MilieuxComputer Engineering and NetworksComputer Imaging, Vision, Pattern Recognition and GraphicsSoftware EngineeringComputer Application in Social and Behavioral SciencesArtificial intelligence.Computers.Computer engineering.Computer networks.Image processing—Digital techniques.Computer vision.Software engineering.Social sciences—Data processing.Artificial Intelligence.Computing Milieux.Computer Engineering and Networks.Computer Imaging, Vision, Pattern Recognition and Graphics.Software Engineering.Computer Application in Social and Behavioral Sciences.006.3Amini Massih-Rezaedthttp://id.loc.gov/vocabulary/relators/edtCanu Stéphaneedthttp://id.loc.gov/vocabulary/relators/edtFischer Asjaedthttp://id.loc.gov/vocabulary/relators/edtGuns Tiasedthttp://id.loc.gov/vocabulary/relators/edtKralj Novak Petraedthttp://id.loc.gov/vocabulary/relators/edtTsoumakas Grigoriosedthttp://id.loc.gov/vocabulary/relators/edtBOOK996517752403316Machine Learning and Knowledge Discovery in Databases773712UNISA01895oam 2200457 a 450 991069219530332120031120084900.0(CKB)5470000002351477(OCoLC)53321513ocm53321513(OCoLC)995470000002351477(EXLCZ)99547000000235147720031031d2003 ua 0engurgn||||||txtrdacontentcrdamediacrrdacarrierMethod of analysis by the U.S. Geological Survey California District Sacramento Laboratory[electronic resource] determination of dissolved organic carbon in water by high temperature catalytic oxidation, method validation, and quality-control practices /by Susan M. Bird, Miranda S. Fram, and Kathryn L. CrepeauSacramento, Calif. :U.S. Dept. of the Interior, U.S. Geological Survey,2003.U.S. Geological Survey open-file report ;03-366Title from PDF title screen (viewed on Nov. 20, 2003).Includes bibliographical references.Method of analysis by the U.S. Geological Survey California District Sacramento Laboratory WaterCompositionCaliforniaDelta RegionWaterCaliforniaDelta RegionAnalysisWater qualityCaliforniaDelta RegionWaterCompositionWaterAnalysis.Water qualityBird Susan M1384810Fram Miranda S(Miranda Susan)1382875Crepeau Kathryn L1384811Geological Survey (U.S.)GISGISGPOBOOK9910692195303321Method of analysis by the U.S. Geological Survey California District Sacramento Laboratory3431572UNINA