Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

Brefeld, Ulf, Fromont, Elisa, Hotho, Andreas

  • 出版商: Springer
  • 出版日期: 2020-05-02
  • 售價: $4,390
  • 貴賓價: 9.5$4,171
  • 語言: 英文
  • 頁數: 732
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030461467
  • ISBN-13: 9783030461461
  • 相關分類: Machine Learning 機器學習

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The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in W rzburg, Germany, in September 2019.

The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track.

The contributions were organized in topical sections named as follows:

Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization.

Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing.

Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.

Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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