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History of Intellectual Culture 3/2024
  • Language: en
  • Pages: 336

History of Intellectual Culture 3/2024

The third issue of the yearbook History of Intellectual Culture (HIC) devotes a thematic section to experimental spaces for knowledge production. The articles in this section investigate the role of experimental environments as sites for knowledge production during the long nineteenth century, thereby extending the scope beyond the confines of traditional academic institutions such as academies, laboratories, and universities. By focusing on intentional communities, colonial gardens, agricultural colonies, and artistic colonies as experimental spaces, the authors investigate the intertwined social, natural, and aesthetic aspects of environments. An overarching aim is to develop a distinct pe...

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 768

Machine Learning and Knowledge Discovery in Databases

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 grap...

Machine Learning and Knowledge Discovery in Databases. Research Track
  • Language: en
  • Pages: 509

Machine Learning and Knowledge Discovery in Databases. Research Track

None

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
  • Language: en
  • Pages: 521
Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 755

Machine Learning and Knowledge Discovery in Databases

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on ...

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 732

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
  • -
  • Published: 2013-08-28
  • -
  • Publisher: Springer

This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.

Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track
  • Language: en
  • Pages: 487
Machine Learning and Knowledge Discovery in Databases. Research Track
  • Language: en
  • Pages: 512

Machine Learning and Knowledge Discovery in Databases. Research Track

None

Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
  • Language: en
  • Pages: 608

Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

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 ...

Discovery Science
  • Language: en
  • Pages: 725

Discovery Science

This book constitutes the proceedings of the 26th International Conference on Discovery Science, DS 2023, which took place in Porto, Portugal, in October 2023. The 37 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 133 submissions. They were organized in topical sections as follows: Machine learning methods and applications; natural language processing and social media analysis; interpretability and explainability in AI; data analysis and optimization; fairness, privacy and security in AI; control and spatio-temporal modeling; graph theory and network analysis; time series and forecasting; healthcare and biological data analysis; anomaly, outlier and novelty detection.