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Machine Learning and Knowledge Discovery in Databases [electronic resource] : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II / edited by Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas.
Materialtyp:
TextSerie: Utgivningsuppgift: Cham : Springer International Publishing : Imprint: Springer, 2023Utgåva: 1st ed. 2023Beskrivning: XLVII, 759 p. 199 illus., 193 illus. in color. online resourceInnehållstyp: - text
- computer
- online resource
- 9783031263903
- Artificial Intelligence
- Computer Engineering and Networks
- Machine Learning
- Graph Theory
- Mathematical Models of Cognitive Processes and Neural Networks
- Language Teaching and Learning
- Artificial intelligence
- Computer engineering
- Computer networks
- Machine learning
- Graph theory
- Neural networks (Computer science)
- Language and languages -- Study and teaching
- 006.3 23
Innehåll:
Sammanfattning: Chapters 2On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis3 and 2Contextualized Graph Embeddings for Adverse Drug Event Detection3 are licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/ by/4.0/). For further details see license information in the chapter.
Networks and graphs -- knowledge graphs -- social network analysis -- graph neural networks -- natural language processing and text mining -- conversational systems.
Inga fysiska exemplar för denna post
Networks and graphs -- knowledge graphs -- social network analysis -- graph neural networks -- natural language processing and text mining -- conversational systems.
Chapters 2On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis3 and 2Contextualized Graph Embeddings for Adverse Drug Event Detection3 are licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/ by/4.0/). For further details see license information in the chapter.
Licensed e-book