KI 2022 : advances in artificial intelligence : 45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings / Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm (eds.)
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.
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Corporate Author: | |
| Other Authors: | , , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2022.
|
| Series: | Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13404. LNCS sublibrary. Artificial intelligence. |
| Subjects: |
MARC
| LEADER | 00000cam a2200000xi 4500 | ||
|---|---|---|---|
| 001 | b12788588 | ||
| 003 | CoU | ||
| 005 | 20221007045111.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 220921s2022 sz a o 101 0 eng d | ||
| 019 | |a 1345053749 | ||
| 020 | |a 9783031157912 |q (electronic bk.) | ||
| 020 | |a 3031157915 |q (electronic bk.) | ||
| 020 | |z 9783031157905 | ||
| 020 | |z 3031157907 | ||
| 024 | 7 | |a 10.1007/978-3-031-15791-2 | |
| 035 | |a (OCoLC)spr1345278303 | ||
| 035 | |a (OCoLC)1345278303 |z (OCoLC)1345053749 | ||
| 037 | |a spr978-3-031-15791-2 | ||
| 040 | |a GW5XE |b eng |e rda |e pn |c GW5XE |d YDX | ||
| 049 | |a GWRE | ||
| 050 | 4 | |a Q334 | |
| 111 | 2 | |a German Conference on Artificial Intelligence |n (45th : |d 2022 : |c Trier, Germany) | |
| 245 | 1 | 0 | |a KI 2022 : |b advances in artificial intelligence : 45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings / |c Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm (eds.) |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c 2022. | |
| 300 | |a 1 online resource (xxii, 225 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 490 | 1 | |a Lecture notes in artificial intelligence. | |
| 490 | 1 | |a Lecture notes in computer science ; |v 13404. | |
| 490 | 1 | |a LNCS sublibrary, SL 7, Artificial intelligence. | |
| 505 | 0 | |a 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. | |
| 500 | |a Includes author index. | ||
| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed September 21, 2022) | |
| 650 | 0 | |a Artificial intelligence |v Congresses. |0 http://id.loc.gov/authorities/subjects/sh2007101476. | |
| 650 | 0 | |a Machine learning |v Congresses. |0 http://id.loc.gov/authorities/subjects/sh2008107143. | |
| 700 | 1 | |a Bergmann, R. |q (Ralph), |e editor. |0 http://id.loc.gov/authorities/names/n99041444 |1 https://orcid.org/0000-0002-5515-7158. |1 http://isni.org/isni/0000000115766656. | |
| 700 | 1 | |a Malburg, Lukas, |e editor. |1 https://orcid.org/0000-0002-6866-0799. | |
| 700 | 1 | |a Rodermund, Stephanie C., |e editor. |1 https://orcid.org/0000-0002-5168-3564. | |
| 700 | 1 | |a Timm, Ingo J., |e editor. |0 http://id.loc.gov/authorities/names/nb2012025983 |1 https://orcid.org/0000-0002-3369-813X. |1 http://isni.org/isni/0000000420125652. | |
| 776 | 0 | 8 | |c Original |z 3031157907 |z 9783031157905 |w (OCoLC)1337525342. |
| 830 | 0 | |a Lecture notes in computer science. |p Lecture notes in artificial intelligence. |0 http://id.loc.gov/authorities/names/n86736436. | |
| 830 | 0 | |a Lecture notes in computer science ; |v 13404. |0 http://id.loc.gov/authorities/names/n42015162. | |
| 830 | 0 | |a LNCS sublibrary. |n SL 7, |p Artificial intelligence. |0 http://id.loc.gov/authorities/names/n2008077786. | |
| 856 | 4 | 0 | |u https://colorado.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15791-2 |z Full Text (via Springer) |
| 907 | |a .b127885882 |b 11-01-22 |c 10-11-22 | ||
| 998 | |a web |b 10-31-22 |c b |d b |e - |f eng |g sz |h 0 |i 1 | ||
| 907 | |a .b127885882 |b 10-31-22 |c 10-11-22 | ||
| 944 | |a MARS - RDA ENRICHED | ||
| 915 | |a - | ||
| 956 | |a Springer e-books | ||
| 956 | |b Springer Computer Science eBooks 2022 English+International | ||
| 999 | f | f | |i ac0449e6-d84d-5f33-a9e8-67a17ae519bf |s 661c229e-e996-54eb-b176-667402832e60 |
| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e Q334 |h Library of Congress classification |i web |n 1 |