Ulf Brefeld – författare
Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III
565 kr
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708 kr
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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 learning; ensemble 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.
Machine Learning and Data Mining for Sports Analytics
5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
677 kr
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847 kr
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Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III
565 kr
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708 kr
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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 and security; optimization.
Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing.
Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.
Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
1 101 kr
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1 377 kr
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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 and security; optimization.
Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing.
Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.
Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
1 101 kr
Skickas inom 10-15 vardagar
1 377 kr
Läs direkt efter köp
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 and security; optimization.
Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing.
Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.
Chapter "Heavy-tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Machine Learning and Data Mining for Sports Analytics
7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
549 kr
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692 kr
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Machine Learning and Data Mining for Sports Analytics
8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers
900 kr
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1 141 kr
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Machine Learning and Data Mining for Sports Analytics
9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
733 kr
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865 kr
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650 kr
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Machine Learning and Data Mining for Sports Analytics
10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023, Revised Selected Papers
844 kr
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1 031 kr
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The 16 full papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Football/Soccer, Basketball, Other team sports, Individual sports.
Machine Learning and Data Mining for Sports Analytics
11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers
733 kr
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873 kr
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This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024.
The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions.
They are grouped into the following topics: Individual sports; Basketball; Soccer; Other team sports/e-Sports.