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Journal ArticleDOI

A generalized case competence model for casebase maintenance

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This article is published in Ai Communications.The article was published on 2017-01-01. It has received 3 citations till now.

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Proceedings Article

An Optimal Footprint Method for Case-Base Maintenance.

TL;DR: The footprint based approach is a data reduction approach in CBR which identifies a set of representative cases called the footprint set, which can solve the remaining cases in the case-base which is studied empirically in this paper.
Book ChapterDOI

Holographic Case-Based Reasoning.

Abstract: In this paper, we present a novel extension of CBR that allows cases to be more proactive at problem solving, by enriching case representations and facilitating richer interconnectedness between cases. We empirically study the improvements resulting from a holographic realization on experimental datasets. In addition to making CBR more cognitively appealing, the idea has the potential to lend itself as an elegant general CBR formalism of which diverse realizations of CBR can be viewed as instances.
Book ChapterDOI

An Optimal Case-Base Maintenance Method for Compositional Adaptation Applications

TL;DR: An optimization formulation to arrive at a compressed case-base that can find a solution for the rest of the cases in the case- base that involves compositional adaptation process is proposed.
References
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Journal ArticleDOI

Hedonic housing prices and the demand for clean air

TL;DR: In this article, the authors investigated the methodological problems associated with the use of housing market data to measure the willingness to pay for clean air, using a hedonic housing price model and data for the Boston metropolitan area.
Book

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

TL;DR: This textbook provides a thorough introduction to the field of learning from experimental data and soft computing and assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole.
Proceedings Article

Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems

TL;DR: Two new deletion strategies are proposed that can take both competence and performance into consideration during deletion, and they may cause problems for CBR system competence.
Book ChapterDOI

Modelling the Competence of Case-Bases

TL;DR: It is argued that this model has an important role to play in areas such as the evaluation and benchmarking of case-based techniques, and a novel application of the model is demonstrated as a guide to case-base designers during the case authoring process.
Book ChapterDOI

Techniques and Knowledge Used for Adaptation During Case-Based Problem Solving

TL;DR: A process model of CBR and the used knowledge according to the different knowledge containers is introduced and the current models of adaptation are described and illustrated in an example domain.