Libros importados con hasta 50% OFF + Envío Gratis a todo USA  Ver más

menu

0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional
portada Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, Ecml Pkdd 2021, Bilbao, Spain, September 13-17, 2021, Proc (in English)
Type
Physical Book
Publisher
Language
English
Pages
831
Format
Paperback
Dimensions
23.4 x 15.6 x 4.4 cm
Weight
1.19 kg.
ISBN13
9783030865221

Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, Ecml Pkdd 2021, Bilbao, Spain, September 13-17, 2021, Proc (in English)

Oliver, Nuria ; Pérez-Cruz, Fernando ; Kramer, Stefan (Author) · Springer · Paperback

Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, Ecml Pkdd 2021, Bilbao, Spain, September 13-17, 2021, Proc (in English) - Oliver, Nuria ; Pérez-Cruz, Fernando ; Kramer, Stefan

Physical Book

$ 161.04

$ 169.99

You save: $ 8.95

5% discount
  • Condition: New
It will be shipped from our warehouse between Monday, June 10 and Tuesday, June 11.
You will receive it anywhere in United States between 1 and 3 business days after shipment.

Synopsis "Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, Ecml Pkdd 2021, Bilbao, Spain, September 13-17, 2021, Proc (in English)"

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews