Machine Learning and Knowledge Discovery in Databases Research Track is popular PDF and ePub book, written by Danai Koutra in 2023-09-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning and Knowledge Discovery in Databases Research Track can be Read Online from any device for your convenience.

Machine Learning and Knowledge Discovery in Databases Research Track Book PDF Summary

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Detail Book of Machine Learning and Knowledge Discovery in Databases Research Track PDF

Machine Learning and Knowledge Discovery in Databases  Research Track
  • Author : Danai Koutra
  • Release : 16 September 2023
  • Publisher : Springer Nature
  • ISBN : 9783031434129
  • Genre : Computers
  • Total Page : 802 pages
  • Language : English
  • PDF File Size : 16,6 Mb

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