Machine Learning and Knowledge Discovery in Databases

Name: Machine Learning and Knowledge Discovery in Databases
Brand: Springer Nature Switzerland AG
SKU: 9783030461461
Price: 98.1 EUR
Availability: InStock

European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II

Autor: Ulf Brefeld, Elisa Fromont, Arno Knobbe, Andreas Hotho, Marloes Maathuis, Céline Robardet

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer Nature Switzerland AG

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The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European...

Informácie o knihe

Autor

Ulf Brefeld, Elisa Fromont, Arno Knobbe, Andreas Hotho, Marloes Maathuis, Céline Robardet

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2020

Stránok

732

EAN

9783030461461

Enbook ID

28290221

Vydavateľ

Springer Nature Switzerland AG

Hmotnosť

1145

Rozmery

155 x 235 x 41

Kompletný popis

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 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.

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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II

Informácie o knihe

Kompletný popis

Mohlo by vás zaujímať

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež