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標(biāo)題: Titlebook: Case-Based Reasoning; A Concise Introducti Beatriz López Book 2013 Springer Nature Switzerland AG 2013 [打印本頁]

作者: children    時(shí)間: 2025-3-21 17:49
書目名稱Case-Based Reasoning影響因子(影響力)




書目名稱Case-Based Reasoning影響因子(影響力)學(xué)科排名




書目名稱Case-Based Reasoning網(wǎng)絡(luò)公開度




書目名稱Case-Based Reasoning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Case-Based Reasoning被引頻次




書目名稱Case-Based Reasoning被引頻次學(xué)科排名




書目名稱Case-Based Reasoning年度引用




書目名稱Case-Based Reasoning年度引用學(xué)科排名




書目名稱Case-Based Reasoning讀者反饋




書目名稱Case-Based Reasoning讀者反饋學(xué)科排名





作者: 揮舞    時(shí)間: 2025-3-21 20:16

作者: Nonflammable    時(shí)間: 2025-3-22 00:33
Learning,, no learning effort is dedicated when storing cases in memory, but is at problem-solving time, practical CBR requires the use of more eager methods to improve efficiency in problem solving. Learning can be applied to obtain case models, as prototypes, to recognize the relevant features of the domai
作者: NICE    時(shí)間: 2025-3-22 08:36
Formal Aspects,systems. The behavior of a system should be predictable, thus the formal specification and then verification of CBR systems should be possible. CBR, as a methodology, encompasses several stages, while formal approaches used to cover part of them. For example, description logic focuses on knowledge r
作者: BRINK    時(shí)間: 2025-3-22 09:59
Summary and Beyond,ilar problems. Past experiences or cases are stored by keeping all the particular information of a problem-solving past episode, without dropping any particularities out, the removal of which could lead to the generation of general patterns. The experiences are, by themselves, part of the domain mod
作者: harrow    時(shí)間: 2025-3-22 16:20

作者: harrow    時(shí)間: 2025-3-22 18:14
Formal Aspects,ery well-known formalization approaches to CBR are provided, sorted by an approximate chronological order. It is beyond the scope of this introductory lecture to provide long debates and demonstrate CBR properties derived from the models, but the summaries which follow should be taken as the tools offered by the mathematical foundations of CBR.
作者: vector    時(shí)間: 2025-3-22 22:56
Learning,n or the problem at hand to learn the corresponding similarity measure, or to improve retrieval through a better case organization. That is, learning can be applied to any knowledge involved in the CBR, i.e., the knowledge containers.
作者: MIRE    時(shí)間: 2025-3-23 04:05
Summary and Beyond,el. When solving a problem, reasoning is carried out thanks to a neighborhood generalization procedure guided bya similarity measure. Thus, lazy learning is postponed until problem solving, and only part of the cases, those that are relevant to the problem at hand, participate in that process.
作者: Bone-Scan    時(shí)間: 2025-3-23 06:16
Operations Research in the Airline Industryn or the problem at hand to learn the corresponding similarity measure, or to improve retrieval through a better case organization. That is, learning can be applied to any knowledge involved in the CBR, i.e., the knowledge containers.
作者: 樹上結(jié)蜜糖    時(shí)間: 2025-3-23 12:05
Observers and Macroeconomic Systemsel. When solving a problem, reasoning is carried out thanks to a neighborhood generalization procedure guided bya similarity measure. Thus, lazy learning is postponed until problem solving, and only part of the cases, those that are relevant to the problem at hand, participate in that process.
作者: bleach    時(shí)間: 2025-3-23 14:54

作者: Adrenaline    時(shí)間: 2025-3-23 20:16

作者: 膠水    時(shí)間: 2025-3-24 02:15
1939-4608 echniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve th
作者: Kindle    時(shí)間: 2025-3-24 04:48
Philippe Spieser,Alain Chevaliercase-base comprehends what is in a case and how cases are organized. The similarity measure container contains knowledge to determine the similarity between two cases in the retrieval phase. The solution adaptation container contains knowledge to adapt past solutions to new problems in the reuse stage.
作者: 討人喜歡    時(shí)間: 2025-3-24 09:38
The Case-Base,case-base comprehends what is in a case and how cases are organized. The similarity measure container contains knowledge to determine the similarity between two cases in the retrieval phase. The solution adaptation container contains knowledge to adapt past solutions to new problems in the reuse stage.
作者: cumber    時(shí)間: 2025-3-24 11:53

作者: CLEAR    時(shí)間: 2025-3-24 18:32

作者: 哥哥噴涌而出    時(shí)間: 2025-3-24 21:55

作者: Proponent    時(shí)間: 2025-3-25 01:44
Synthesis Lectures on Artificial Intelligence and Machine Learninghttp://image.papertrans.cn/c/image/222316.jpg
作者: 刺耳的聲音    時(shí)間: 2025-3-25 06:09

作者: Insubordinate    時(shí)間: 2025-3-25 07:40

作者: BROTH    時(shí)間: 2025-3-25 14:36
Operations Research in the Airline Industry, no learning effort is dedicated when storing cases in memory, but is at problem-solving time, practical CBR requires the use of more eager methods to improve efficiency in problem solving. Learning can be applied to obtain case models, as prototypes, to recognize the relevant features of the domai
作者: 羊齒    時(shí)間: 2025-3-25 16:25
A Practical Macroeconometric Modelsystems. The behavior of a system should be predictable, thus the formal specification and then verification of CBR systems should be possible. CBR, as a methodology, encompasses several stages, while formal approaches used to cover part of them. For example, description logic focuses on knowledge r
作者: 酷熱    時(shí)間: 2025-3-25 20:58
Observers and Macroeconomic Systemsilar problems. Past experiences or cases are stored by keeping all the particular information of a problem-solving past episode, without dropping any particularities out, the removal of which could lead to the generation of general patterns. The experiences are, by themselves, part of the domain mod
作者: Terminal    時(shí)間: 2025-3-26 03:09
Christian Hurson,Nadine Ricci-XellaCase-based reasoning (CBR) is a methodology for developing knowledge-based systems where the central issue is past cases or experiences. Case-based reasoning means solving problems based on past experiences, remembering previous cases to guide the solution to current problems, and adapting past solutions to new problems.
作者: 有節(jié)制    時(shí)間: 2025-3-26 05:50

作者: 滔滔不絕地說    時(shí)間: 2025-3-26 10:59
Reasoning and Decision Making,ng episodes) stored in the knowledge base. It involves the retrieve and reuse stages of CBR, as shown in Figure 3.1. Moreover, as it is possible to observe in the diagram, some feedback can be obtained in the revise stage and a remade solution can be generated and annotated with the evaluation outcome.
作者: 多嘴    時(shí)間: 2025-3-26 12:55

作者: Encephalitis    時(shí)間: 2025-3-26 18:12
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