Introduction to the theory of neural computation
Introduction to the theory of neural computation
A Nearest Hyperrectangle Learning Method
Machine Learning
Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
International Journal of Man-Machine Studies - Special issue: symbolic problem solving in noisy and novel task environments
Artificial Intelligence Review - Special issue on lazy learning
Soft computing in case based reasoning
Towards integration of memory based learning and neural networks
Soft computing in case based reasoning
Feature Weight Maintenance in Case Bases Using Introspective Learning
Journal of Intelligent Information Systems
The Application of Case-Based Reasoning to the Tasks of Health Care Planning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Learning to Refine Indexing by Introspective Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Learning a Local Similarity Metric for Case-Based Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Storing and indexing plan derivations through explanation-based analysis of retrieval failures
Journal of Artificial Intelligence Research
Improving Reinforcement Learning by Using Case Based Heuristics
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
The adaptive web
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Towards constraint optimal control of greenhouse climate
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Coordination control of greenhouse environmental factors
International Journal of Automation and Computing
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Using cases as heuristics in reinforcement learning: a transfer learning application
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Integrated learning for goal-driven autonomy
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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The reinforcement-trained case-based reasoning system uses reinforcement learning to adjust its similarity metric. RETCBR learns similarity metrics in response to feedback from the user or environment, letting the system adapt to user needs. The system also works in application domains with insufficient expertise to develop similarity metrics, expanding the type of problems to which CBR can be applied. The authors describe two methods of implementing similarity assessment and demonstrate the methods'performance in a weather forecasting application. The weather application uses reports obtained from actual weather stations and demonstrates that the system can operate without explicit domain knowledge. The experiments show that CBR systems can improve their similarity metrics through reinforcement-learning techniques.