会犯错误 发表于 2025-3-25 06:11:16
The Ordinary Least Squares Estimates,es. This model enables assistance in non trivial, creativity requiring situations. Our model uses the Case Based Reasoning (CBR) paradigm in order to reuse experience. After a formal description of the model we discuss how it can serve to capitalize and re-use experience.漂亮才会豪华 发表于 2025-3-25 10:52:08
http://reply.papertrans.cn/23/2224/222319/222319_22.png吵闹 发表于 2025-3-25 13:12:11
http://reply.papertrans.cn/23/2224/222319/222319_23.pngtenuous 发表于 2025-3-25 17:41:02
Global Grade Selector: A Recommender System for Supporting the Sale of Plastic Resinmation about grades and the knowledge that is needed to correctly select them. Global Grade Selector was fielded to the 800 people in the GE Plastics worldwide sales force in July 2002. During the second half of 2002 it was used for 4700 sales opportunities.FANG 发表于 2025-3-25 22:45:42
http://reply.papertrans.cn/23/2224/222319/222319_25.pngAWRY 发表于 2025-3-26 00:20:16
Case-Based Plan Recognition in Computer Games representation. Our evaluation suggests that a personalized plan library will produce better prediction accuracy but, for Space Invaders, good accuracy can be produced using a plan library derived from the game play of another player.chemoprevention 发表于 2025-3-26 06:56:16
Human-Centered CBR: Integrating Case-Based Reasoning with Knowledge Construction and Extensioncontexts, and how each part of the combined system can help to extend the capabilities of the other. This talk describes ongoing research addressing these questions in the context of case-based support for human knowledge modeling and construction.incubus 发表于 2025-3-26 11:46:52
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http://reply.papertrans.cn/23/2224/222319/222319_29.pngIVORY 发表于 2025-3-26 18:09:43
Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Casesences. Experiments with a collection of historic cases show that IBP’s predictions are better than those made with its weak model or with cases alone. IBP also has higher accuracy compared to standard inductive and instance-based learning algorithms.