Cantitate/Preț
Produs
Total produse
Vezi coșul
KI 2022: Advances in Artificial Intelligence: 45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings de Ralph Bergmann

KI 2022: Advances in Artificial Intelligence: 45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings: Lecture Notes in Computer Science, cartea 13404

Editat de Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm
en Limba Engleză Paperback – 17 sep 2022
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.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 35134 lei

Preț vechi: 43917 lei
-20% Nou

Puncte Express: 527
Preț estimativ în valută:
6724€ • 6984$ • 5585£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031157905
ISBN-10: 3031157907
Pagini: 225
Ilustrații: XXII, 225 p. 56 illus., 49 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

An Implementation of Nonmonotonic Reasoning with System W.- Leveraging implicit gaze-based user feedback for interactive machine learning.- The Randomness of Input Data Spaces is an A Priori Predictor for Generalization.- Communicating Safety of Planned Paths via Optimally-Simple Explanations.- Assessing the Accuracy-Explainability-Cost Trade-off on Model Selection for Retail Article Categorization.- Enabling Supervised Machine Learning for SMEs through Data Pooling: A Case Study in the Service Industry.- Unsupervised Alignment of Distributional Word Embeddings. NeuralPDE: Modelling Dynamical Systems from Data.- Deep Neural Networks for Geometric Shape Deformation.- Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling.- Optimal Fixed-Premise Repairs of EL TBoxes.- Health And Habit: an Agent-based Approach.- Knowledge Graph Embeddings with Ontologies: Reification for Representing Arbitrary Relations.- Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning.- HanKA: Enriched Knowledge Used by an Adaptive Cooking Assistant.- Automated Kantian Ethics: A Faithful Implementation and Testing Framework.- PEBAM: A Profile-based Evaluation Method for Bias Assessment on Mixed Datasets.

Textul de pe ultima copertă

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.