KI 2022: Advances in Artificial Intelligence : 45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings / edited by Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 13404)
データ種別 | 電子ブック |
---|---|
版 | 1st ed. 2022. |
出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2022 |
大きさ | XXII, 225 p. 56 illus., 49 illus. in color : online resource |
著者標目 | Bergmann, Ralph editor Malburg, Lukas editor Rodermund, Stephanie C editor Timm, Ingo J editor SpringerLink (Online service) |
書誌詳細を非表示
一般注記 | 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 HTTP:URL=https://doi.org/10.1007/978-3-031-15791-2 |
---|---|
件 名 | LCSH:Artificial intelligence LCSH:Computer engineering LCSH:Computer networks LCSH:Application software LCSH:Education -- Data processing 全ての件名で検索 LCSH:Computer science -- Mathematics 全ての件名で検索 FREE:Artificial Intelligence FREE:Computer Engineering and Networks FREE:Computer and Information Systems Applications FREE:Computers and Education FREE:Mathematics of Computing |
分 類 | LCC:Q334-342 LCC:TA347.A78 DC23:006.3 |
書誌ID | EB00001135 |
ISBN | 9783031157912 |
類似資料
この資料の利用統計
このページへのアクセス回数:2回
※2019年3月27日以降
全貸出数:0回
(1年以内の貸出:0回)
※2019年3月27日以降