Machine Learning and Knowledge Discovery in Databases: Research Track / Lecture Notes in Computer Science Bd.14173 (PDF)

Name: Machine Learning and Knowledge Discovery in Databases: Research Track / Lecture Notes in Computer Science Bd.14173
Brand: Springer International Publishing
SKU: 152212774
Price: 74.89 EUR
Availability: OnlineOnly

European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V (Sprache: Englisch)

Schreiben Sie einen Kommentar zu "Machine Learning and Knowledge Discovery in Databases: Research Track / Lecture Notes in Computer Science Bd.14173".

Machine Learning and Knowledge Discovery in Databases: Research Track / Lecture Notes in Computer Science Bd.14173

Merken

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...

Mehr zum Inhalt Video

eBook (pdf) 74.89 €

Buch (Kartoniert) 79.17 €

sofort als Download lieferbar

Bestellnummer: 152212774

Printausgabe 79.17 €

eBook (pdf) -5% 74.89 €

Download bestellen

Verschenken

37 DeutschlandCard Punkte sammeln

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Machine Learning and Knowledge Discovery in Databases: Research Track / Lecture Notes in Computer Science Bd.14173 (PDF)“

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; Graph Contrastive Learning.

Part III: ¿Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.

Part IV: ¿Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.

Part V: ¿Robustness; Time Series; Transfer and Multitask Learning.

Part VI: ¿Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.

¿Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

eBook Hilfe

Informationen und Hilfe zu eBooks hier klicken!

Bibliographische Angaben

2023, 1st ed. 2023, 460 Seiten, Englisch
Herausgegeben: Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi
Verlag: Springer International Publishing
ISBN-10: 3031434242
ISBN-13: 9783031434242
Erscheinungsdatum: 17.09.2023

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

eBook Informationen

Dateiformat: PDF
Größe: 33 MB
Ohne Kopierschutz
Vorlesefunktion

Sprache:

Englisch

Kommentar zu "Machine Learning and Knowledge Discovery in Databases: Research Track / Lecture Notes in Computer Science Bd.14173"

Schreiben Sie einen Kommentar zu "Machine Learning and Knowledge Discovery in Databases: Research Track / Lecture Notes in Computer Science Bd.14173".

Wie funktionieren Bewertungen?

0 Gebrauchte Artikel zu „Machine Learning and Knowledge Discovery in Databases: Research Track / Lecture Notes in Computer Science Bd.14173“

Zustand	Preis	Porto	Zahlung	Verkäufer	Rating