Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 1418, 2020, Proceedings, Part III free ebook download.

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 1418, 2020, Proceedings, Part III free ebook download

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Author(s):	Tijl De Bie, Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera

Date:	2021-04-27	Format:	pdf	Language:	English	ISBN/ASIN:	3030676633
Pages:		OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	2/25/2021 9:26:06 AM

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The 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.

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