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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV (Paperback, 1st ed. 2021)
Loot Price: R1,638
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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV (Paperback, 1st ed. 2021)
Series: Lecture Notes in Computer Science, 12460
Expected to ship within 10 - 15 working days
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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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