BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Wrzburg, Germany, September 16-20, 2019, Proceedings, Part II (Lecture Notes in Artificial Intelligence)

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Wrzburg, Germany, September 16-20, 2019, Proceedings, Part II (Lecture Notes in Artificial Intelligence)

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML
Stock photo: cover may vary

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Wrzburg, Germany, September 16-20, 2019, Proceedings, Part II (Lecture Notes in Artificial Intelligence) Paperback - 2020

by Brefeld, Ulf

Add to wish list
  • New
  • Paperback
  • first
New

Description

Springer, 2020-05-02. 1st ed. 2020. paperback. New. 6.10x1.72x9.25. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
A$189.42
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Dropship order
Ships from Ergodebooks (Texas, United States)

Details

About Ergodebooks Texas, United States

Biblio member since 2005

Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.

Terms of Sale:

We have 30 day return policy.

Browse books from Ergodebooks

Reader reviews for Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Wrzburg, Germany, September 16-20, 2019, Proceedings, Part II (Lecture Notes in Artificial Intelligence)

From the publisher

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 Wrzburg, 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.

From the rear cover

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.
tracking-