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Case-based reasoning

2004
This chapter is the first chapter in the Part I of the book. It is also the basis for Chapter 5, 6, and 7, as shown in the shaded area of Fig. 2.1. This chapter will review the fundamentals of case-based reasoning (CBR) from a different viewpoint compared to the traditional studies of CBR, and examine the relationship of expert systems (ESs) and CBR ...
Piero P Bonissone   +1 more
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Case-Based Reasoning

2001
This chapter contains an overview of Case-Based Reasoning (CBR). The main goal is to have a balance between brevity and expressiveness and to provide helpful pointers to literature in the field. To do so, we first describe the CBR types and the CBR cycle, then we briefly review a representative set of systems, next we discuss the connections between ...
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Towards Creative Case Based Reasoning

2010 Fourth International Conference on Genetic and Evolutionary Computing, 2010
Case Based Reasoning (CBR) solves new problems by re-using the old solutions in similar contexts. However, repetition of previous solutions in new situations is not creative and thus becomes an issue to CBR, considering the fact that creativity is required to solve new problems.
null Zhiqiang Zhu   +2 more
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Protein docking using case‐based reasoning

Proteins: Structure, Function, and Bioinformatics, 2013
ABSTRACTProtein docking algorithms aim to calculate the three‐dimensional (3D) structure of a protein complex starting from its unbound components. Although ab initio docking algorithms are improving, there is a growing need to use homology modeling techniques to exploit the rapidly increasing volumes of structural information that now exist.
Ghoorah, Anisah   +3 more
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Soft case-based reasoning

The Knowledge Engineering Review, 2005
The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case ...
Cheetham, W, Shiu, CKS, Weber, RO
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Case Based Reasoning im Qualitätsmanagement*/Case Based Reasoning enhances quality management

wt Werkstattstechnik online, 2017
Die Entwicklung zur Losgröße 1 im Rahmen der Industrie 4.0 stellt das Qualitätsmanagement vor neue Herausforderungen. Klassische Qualitätsmethoden, welche unter anderem Tests und statistische Analysen umfassen, können in der individualisierten Produktion zur Prozessoptimierung nicht einfach übernommen werden.
F Schäfer   +4 more
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FROM CASE-BASED REASONING TO TRACES-BASED REASONING

IFAC Proceedings Volumes, 2006
Abstract CBR is an original paradigm to adapt solutions of past problems in order to solve new similar problems. A case is a problem with its solution and cases are stored in a case library. The reasoning process obeys to a cycle allowing to “learn” from new solved cases.
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Case-Based Reasoning

2023
Stewart Massie   +2 more
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Case-based Reasoning

Abstract This chapter presents a solution to the integration problem. EBM, the dominant approach to medical knowledge, focuses on the importance of clinical trials in providing medical knowledge. Other chapters in this book have argued for the importance of including knowledge of physiological mechanisms, a provider’s clinical experience,
Robyn Bluhm, Mark Tonelli
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Case Based Reasoning Systems

2000
In many real-world situations, it is impossible or impractical to fully specify all rules involved, yet it is easy to generate working solutions for commonly encountered situations. Case-Based Reasoning (CBR) is an expert systems methodology in which reasoning and learning are based on examples, significantly reducing the cost and effort previously ...
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