9783030676667 - machine learning and knowledge discovery in databases: applied data science track: european conference, ecml pkdd 2020, ghent, belgium, september 14–18, 2020, proceedings, part iv: 12460 (18 risultati)
Machine Learning and Knowledge Discovery in Databases : Applied Data Science Track: European Conference, Ecml Pkdd 2020, Ghent, Belgium, September 14?18, 2020, Proceedings
Dong, Yuxiao (EDT); Mladenic, Dunja (EDT); Saunders, Craig (EDT)
Lingua: Inglese
Editore: Springer, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Machine Learning and Knowledge Discovery in Databases : Applied Data Science Track: European Conference, Ecml Pkdd 2020, Ghent, Belgium, September 14?18, 2020, Proceedings
Dong, Yuxiao (EDT); Mladenic, Dunja (EDT); Saunders, Craig (EDT)
Lingua: Inglese
Editore: Springer, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Machine Learning and Knowledge Discovery in Databases : Applied Data Science Track: European Conference, Ecml Pkdd 2020, Ghent, Belgium, September 14?18, 2020, Proceedings
Dong, Yuxiao (EDT); Mladenic, Dunja (EDT); Saunders, Craig (EDT)
Lingua: Inglese
Editore: Springer, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Machine Learning and Knowledge Discovery in Databases : Applied Data Science Track: European Conference, Ecml Pkdd 2020, Ghent, Belgium, September 14?18, 2020, Proceedings
Dong, Yuxiao (EDT); Mladenic, Dunja (EDT); Saunders, Craig (EDT)
Lingua: Inglese
Editore: Springer, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track: European Conference, Ecml Pkdd 2020, Ghent, Belgium, September 1418, 2020, Proceedings
Dong, Yuxiao (Editor)/ Mladenic, Dunja (Editor)/ Saunders, Craig (Editor)
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Paperback. Condizione: Brand New. 622 pages. 9.25x6.10x1.42 inches. In Stock.
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion.Part II: deep learning optimization and theory;active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning.Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data.Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Lingua: Inglese
Editore: Springer, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Taschenbuch. Condizione: Neu. Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track | European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV | Yuxiao Dong (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xlii | Englisch | 2021 | Springer | EAN 97830…30676667 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion.Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning.Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data.Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track. 624 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Septemb…er 14-18, 2020. The conference was planne.
Lingua: Inglese
Editore: Springer, Springer Feb 2021, 2021
Serie: Lecture Notes in Computer Science, Libro 48 di 129. Libro 48 di 129 - Lecture Notes in Computer Science
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion.Part II: deep learning optimization and theory;active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning.Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data.Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 624 pp. Englisch.
