J Lieber. A criterion of comparison between two case-bases. In J-P Haton, M Keane, and M Manago, editors, Advances in Case-Based Reasoning: Proceedings of the Second European Workshop on Case-Based Reasoning EWCBR94, Lecture Notes in Artificial Intelligence 984, pages 97--100. Springer Verlag, 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....of a proposed solution. Recently, researchers have begun to investigate methods for explicitly modelling these criteria in real systems. Their aim is twofold. On the one hand, it is important to develop predictive performance models to facilitate evaluation and comparative studies (see for e.g. [7,12]) However, in addition, the models can also be used to drive the development of new techniques and algorithms within the CBR problem solving cycle. For example, a variety of different efficiency and competence models have been used recently to guide the growth of case bases during learning and ....

Lieber, J.: A Criterion of Comparison between two Case-Bases. In: Haton, J-P., Keane, M., and Manago, M. (eds.): Advances in Case-Based Reasoning. Lecture Notes in Artificial Intelligence, Vol. 984. Springer-Verlag, Berlin Heidelberg New York (1994) 87100

....Section 5 demonstrates how the model can be used to assist knowledge engineers during the case authoring process. 2 Basic Factors Affecting Case Competence The competence of a case base has to depend on statistical properties such as the size, the distribution, and the density of cases ( 2] [4], 5] 9] 11] It must also rely on problem solving properties such as the coverage of individual cases ( 8] 11] and therefore obviously include the similarity and adaptation knowledge of a given system. To build an effective model of case competence we must understand how these factors ....

....competence, how they interact and evolve within a working system, and how they can be measured. 2. 1 Case Base Size, Density, and Distribution Previous efforts to understand and measure case competence have concentrated on statistical case base properties such as size, density and distribution ([4], 5] Case Base Size: Case base size is an obvious competence factor, and clearly there is some relationship between the number of cases in a case base and the competence of the resulting system. The number of cases in the case base is certainly straightforward to measure, but it is not always ....

Lieber, J. (1995) A Criterion of Comparison between two Case-Bases. Proceedings of the 2 nd European Workshop on Case-Based Reasoning, pp. 87-100, France.

....is not clear. Previous work has shown how different cases can make very different types of competence contribution. Some cases may be critical with respect to competence while others may be redundant [8] Other research has investigated ways of evaluating and validating case bases and CBR systems [3,4]. To date however, there has been only limited progress in developing an effective and truly predictive model of actual case competence. In this paper we present and evaluate such a model 2 A Theoretical Model of Case Competence In any model of case base competence there are a number of factors ....

.... In this paper we present and evaluate such a model 2 A Theoretical Model of Case Competence In any model of case base competence there are a number of factors that must be taken into account including the number, density, and distribution of cases in the case base; see also the work of Lieber [3] and O Leary [4] for a more detailed discussion of the importance of case density and distribution. In this section we present a model of competence based on these factors and on the novel idea of a competence group. In short, we will demonstrate that competence can be estimated by locating and ....

Lieber, J. (1995) A Criterion of Comparison between two Case-Bases. Proceedings of the 2 nd European Workshop on Case-Based Reasoning, pp. 87-100, Springer-Verlag.

....cases to cause an irreversible reduction in overall system competence (for more details and experimental evidence see [12] The bottom line is that effective maintenance in case based reasoning depends on the ability to measure and manage case competence as well as case efficiency. Lieber [5] acknowledges the importance of case competence in research concerned with evaluating the goodness of case bases. An evaluation criterion is developed which uses information about the diversity of cases in the case base to estimate the effectiveness of the case base (a view that is also echoed by ....

Lieber, J. (1995) A Criterion of Comparison between two Case-Bases. Proceedings of the 2 nd European Workshop on Case-Based Reasoning, pp. 87-100, France.

....Methodologies for the development process [3] and maintenance process [4] integrate much of this work, but seem to concentrate on evaluating and improving the performance rather than validating it. Individual aspects have been reported for example on empirical performance evaluation (e.g. 4] [5], 6] performance improvement by improving the vocabulary (e.g. 2] abstraction or deletion strategies (e.g. 6] 7] induction of relevant features (e.g. 8] or the acquisition of cases from domain models [9] Refiner( 10] verifies and refines a case base for consistent classification. ....

Lieber J., A Criterion of Comparison between Two Case Bases. In: EWCBR-94, (Eds.) Keane M., Haton J-P., Manago M., (1994) 205-214.

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J Lieber. A criterion of comparison between two case-bases. In J-P Haton, M Keane, and M Manago, editors, Advances in Case-Based Reasoning: Proceedings of the Second European Workshop on Case-Based Reasoning EWCBR94, Lecture Notes in Artificial Intelligence 984, pages 97--100. Springer Verlag, 1994.

No context found.

Lieber, J., Haton, J.P., Keane, M., and Manago, M., "A criterion of Comparison Between Two Case Bases", Advances in Case-Based Reasoning, Second European Workshop, pp. 87--100. November 1994.

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