國立虎尾科技大學 |

KI 2022: Advances in Artificial Intelligence = 45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	KI 2022: Advances in Artificial Intelligence/ edited by Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm.
其他題名:	45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings /
其他作者:	Bergmann, Ralph.
面頁冊數:	XXII, 225 p. 56 illus., 49 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-15791-2
ISBN:	9783031157912

KI 2022: Advances in Artificial Intelligence = 45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings /
KI 2022: Advances in Artificial Intelligence45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings /[electronic resource] :edited by Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm. - 1st ed. 2022. - XXII, 225 p. 56 illus., 49 illus. in color.online resource. - Lecture Notes in Artificial Intelligence,134042945-9141 ;. - Lecture Notes in Artificial Intelligence,13406.

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.

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.

ISBN: 9783031157912

Standard No.: 10.1007/978-3-031-15791-2doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

KI 2022: Advances in Artificial Intelligence = 45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings /
LDR:03024nam a22004215i 4500 001 1083228
003 DE-He213
005 20221012195002.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031157912 $9 978-3-031-15791-2
024 7 $a 10.1007/978-3-031-15791-2 $2 doi
035 $a 978-3-031-15791-2
050 4 $a Q334-342
050 4 $a TA347.A78
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a KI 2022: Advances in Artificial Intelligence $h [electronic resource] : $b 45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings / $c edited by Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XXII, 225 p. 56 illus., 49 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Artificial Intelligence, $x 2945-9141 ; $v 13404
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.
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.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computer engineering. $3 569006
650 0 $a Computer networks . $3 1365720
650 0 $a Application software. $3 528147
650 0 $a Education—Data processing. $3 1253610
650 0 $a Computer science—Mathematics. $3 1253519
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Engineering and Networks. $3 1365733
650 2 4 $a Computer and Information Systems Applications. $3 1365732
650 2 4 $a Computers and Education. $3 669806
650 2 4 $a Mathematics of Computing. $3 669457
700 1 $a Bergmann, Ralph. $e editor. $1 https://orcid.org/0000-0002-5515-7158 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1389146
700 1 $a Malburg, Lukas. $e editor. $1 https://orcid.org/0000-0002-6866-0799 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1389147
700 1 $a Rodermund, Stephanie C. $e editor. $1 https://orcid.org/0000-0002-5168-3564 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1389148
700 1 $a Timm, Ingo J. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1078149
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031157905
776 0 8 $i Printed edition: $z 9783031157929
830 0 $a Lecture Notes in Artificial Intelligence, $x 2945-9141 ; $v 13406 $3 1387736
856 4 0 $u https://doi.org/10.1007/978-3-031-15791-2
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)