Case-Based Reasoning Research and Development
29th International Conference, ICCBR 2021, Salamanca, Spain, September 13–16, 2021, Proceedings
Antonio A. Sánchez-Ruiz (Redaktør) ; Michael W. Floyd (Redaktør)
This book constitutes the proceedings of the 29th International Conference on Case-Based Reasoning, ICCBR 2021, which took
place in Salamanca, Spain, during September 13-16, 2021.
The 21 papers presented in this volume were carefully reviewed and selected from 85 submissions. Les mer
The 21 papers presented in this volume were carefully reviewed and selected from 85 submissions. Les mer
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Vår pris:
1013,-
(Paperback)
Fri frakt!
Leveringstid:
Sendes innen 21 dager
This book constitutes the proceedings of the 29th International Conference on Case-Based Reasoning, ICCBR 2021, which took
place in Salamanca, Spain, during September 13-16, 2021.
The 21 papers presented in this volume were carefully reviewed and selected from 85 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI).
The 21 papers presented in this volume were carefully reviewed and selected from 85 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI).
- FAKTA
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Utgitt:
2021
Forlag: Springer Nature Switzerland AG
Innbinding: Paperback
Språk: Engelsk
Sider: 325
ISBN: 9783030869564
Format: 24 x 16 cm
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The Bites Eclectic: Critique-Based Conversational Recommendation for Diversity-Focused Meal Planning.- Evaluation of Similarity
Measures for Flight Simulator Training Scenarios.- Instance-based Counterfactual Explanations for Time Series Classification.
-User Evaluation to Measure the Perception of Similarities Measures in Artworks.- Measuring Financial Time Series Similarity
With a View to Identifying Profitable Stock Market Opportunities.- A Case-Based Reasoning Approach to Predicting and Explaining
Running Related Injuries.- Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.- Revisiting
Fast and Slow Thinking in Case-Based Reasoning.- Harmonizing Case Retrieval and Adaptation with Alternating Optimization.-
Adaptation knowledge discovery using positive and negative cases.- When Revision-Based Case Adaptation Meets Analogical Extrapolation.-
Inferring Case-Based Reasoners' Knowledge to Enhance Interactivity.- A case-based approach for the selection of explanation
algorithms in image classification.- Towards Richer Realizations of Holographic CBR. -Handling Climate Change Using Counterfactuals:
Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future.- Case-Based Approach to
Data-to-Text Generation. - On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval.- Task and Situation
Structures for Case-based Planning.- Learning Adaptations for Case-Based Classification: A Neural Network Approach.- Similar
Questions Correspond to Similar SQL Queries: A Case-Based Reasoning Approach for Text-to-SQL Translation.- Deciphering Ancient
Chinese Oracle Bone Inscriptions using Case-Based Reasoning.