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Progress in Artificial Intelligence
  • Language: en
  • Pages: 408

Progress in Artificial Intelligence

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British Museum Catalogue of printed Books
  • Language: en
  • Pages: 588

British Museum Catalogue of printed Books

  • Type: Book
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  • Published: 1892
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  • Publisher: Unknown

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Machine Learning and Knowledge Discovery in Databases: Research Track
  • Language: en
  • Pages: 758

Machine Learning and Knowledge Discovery in Databases: Research Track

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;...

Machine Learning and Knowledge Discovery in Databases. Research Track
  • Language: en
  • Pages: 510

Machine Learning and Knowledge Discovery in Databases. Research Track

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Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 748

Machine Learning and Knowledge Discovery in Databases

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 Würzburg, 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...

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: 765

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
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  • Published: 2019-01-17
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  • Publisher: Springer

The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Bibliotheca Americana
  • Language: en
  • Pages: 592

Bibliotheca Americana

  • Type: Book
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  • Published: 1880
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  • Publisher: Unknown

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