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{ "item_title" : "KI 2022", "item_author" : [" Ralph Bergmann", "Lukas Malburg", "Stephanie C. Rodermund "], "item_description" : "This book constitutes the refereed proceedings of the 45th German Conference on Artificial Intelligence, KI 2022, held in September 2022.The 12 full and 5 short papers were carefully reviewed and selected from 51 submissions. Additionally, five abstracts of invited talks are included. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research.Due to COVID-19 the conference was held virtually.The chapter Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/115/790/3031157907_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
KI 2022|Ralph Bergmann

KI 2022 : Advances in Artificial Intelligence: 45th German Conference on Ai, Trier, Germany, September 19-23, 2022, Proceedings

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Overview

This book constitutes the refereed proceedings of the 45th German Conference on Artificial Intelligence, KI 2022, held in September 2022.

The 12 full and 5 short papers were carefully reviewed and selected from 51 submissions. Additionally, five abstracts of invited talks are included. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research.

Due to COVID-19 the conference was held virtually.

The chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This item is Non-Returnable

Details

  • ISBN-13: 9783031157905
  • ISBN-10: 3031157907
  • Publisher: Springer
  • Publish Date: September 2022
  • Dimensions: 9.21 x 6.14 x 0.52 inches
  • Shipping Weight: 0.78 pounds
  • Page Count: 225

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