Description

Book Synopsis
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.



Table of Contents
Supervised learning.- Probabilistic inference.- Optimal transport.- Optimization.- Quantum, hardware.- Sustainability.

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part V

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    A Paperback by Massih-Reza Amini, Stéphane Canu, Asja Fischer

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      View other formats and editions of Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part V by Massih-Reza Amini

      Book details

      Publisher Springer International Publishing AG
      Published 17 March 2023
      ISBN-13 9783031264184
      978-3031264184
      ISBN-10 3031264185
      Also in:
      Computing Artificial intelligence (AI) Digital and IT general topics Maths for computer scientists

      Description

      Book Synopsis
      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.



      Table of Contents
      Supervised learning.- Probabilistic inference.- Optimal transport.- Optimization.- Quantum, hardware.- Sustainability.

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