000 04922nam a22006495i 4500
001 978-3-030-67661-2
003 DE-He213
005 20240730171850.0
007 cr nn 008mamaa
008 210224s2021 sz | s |||| 0|eng d
020 _a9783030676612
_9978-3-030-67661-2
024 7 _a10.1007/978-3-030-67661-2
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
082 0 4 _a006.312
_223
245 1 0 _aMachine Learning and Knowledge Discovery in Databases
_h[electronic resource] :
_bEuropean Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part II /
_cedited by Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXLIII, 742 p. 248 illus., 231 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12458
505 0 _aDeep learning optimization and theory -- active learning -- adversarial learning; federated learning -- Kernel methods and online learning -- partial label learning -- reinforcement learning -- transfer and multi-task learning -- Bayesian optimization and few-shot learning.
520 _aThe 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory;active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track. .
650 0 _aData mining.
_93907
650 0 _aMachine learning.
_91831
650 0 _aEducation
_xData processing.
_982607
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aComputer vision.
_9100684
650 1 4 _aData Mining and Knowledge Discovery.
_9100686
650 2 4 _aMachine Learning.
_91831
650 2 4 _aComputers and Education.
_941129
650 2 4 _aMathematics of Computing.
_931875
650 2 4 _aComputer Vision.
_9100690
700 1 _aHutter, Frank.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100692
700 1 _aKersting, Kristian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100694
700 1 _aLijffijt, Jefrey.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100695
700 1 _aValera, Isabel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100696
710 2 _aSpringerLink (Online service)
_9100698
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030676605
776 0 8 _iPrinted edition:
_z9783030676629
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12458
_9100699
856 4 0 _uhttps://doi.org/10.1007/978-3-030-67661-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c87857
_d87857