Stan#ll, C. & Waltz, D. #1988#. The memory-based reasoning paradigm. In Kolodner, J. #Ed.#, Proceedings of a Workshop on Case-BasedReasoning, pp. 414#424 San Mateo. DARPA, Morgan Kaufmann, Inc.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....expensive if the number of cases increased dramatically. More sophisticated case storage methods have been examined in other research and are applicable to ROBBIE s case library: discrimination networks #Hinrichs, 1992; Koton, 1989; Simpson, 1985#, implementation on parallel machines #Evett, 1994; Stan#ll Waltz, 1988#, and multi stage retrieval methods #Kolodner, 1988; Simoudis, 1992# #see Kolodner #1993b# for a full discussion of case storage methods#. These methods are made e#ective by the use of good features in indexing, which ROBBIE s index re#nement facilitates. Conclusions and Future Directions 206 ....

Stan#ll, C. & Waltz, D. #1988#. The memory-based reasoning paradigm. In Kolodner, J. #Ed.#, Proceedings of a Workshop on Case-BasedReasoning, pp. 414#424 San Mateo. DARPA, Morgan Kaufmann, Inc.

....however, for two reasons. First, the biological problem being investigated only consisted of several hundred examples, and second, using ARIEL s method of decomposition a few hundred instances was the maximum possible on the available 8K processor CM 2 Connection Machine (Lathrop, 1995) Stanfill and Waltz (1988) use a parallel matching approach for case based learning from very large databases. Their Memory Based Learning (MBL) approach uses a Connection Machine to find the most similar instance from a very large database. This approach is inherently different from parallelizing the type of ....

Stanfill, C., & Waltz, D. (1988). The memory-based reasoning paradigm. Proceedings of a Workshop on Case-Based Reasoning (pp. 414--424). San Mateo, CA: Morgan Kaufmann.

.... task the analogy based inference mechanism of PATDEX can be considered as transformational analogy , facing the test selection task it can be seen as derivational analogy [Car83 86] In addition, there exist several strong connections to the Memory Based Reasoning approach of Stanfill Waltz [SW88] and the Instance Based Learning (IBL) algorithms proposed by [AKA91] Well known case based reasoning approaches which can be compared to PATDEX are, among others, the PROTOS [Bar89] CASEY [Kot89] SIZZLE [Off89] CREEK [Aam90] and memory based reasoning, e.g. MBRtalk [SW88] approaches. ....

.... Stanfill Waltz [SW88] and the Instance Based Learning (IBL) algorithms proposed by [AKA91] Well known case based reasoning approaches which can be compared to PATDEX are, among others, the PROTOS [Bar89] CASEY [Kot89] SIZZLE [Off89] CREEK [Aam90] and memory based reasoning, e.g. MBRtalk [SW88] approaches. Good overviews are given in [KRW89] and [Sla91] In applying case and analogy based reasoning techniques to the problematic nature of test selection and in integrating connectionist methods for adaptive learning, PATDEX contributes to the current state of the art defined by these ....

Stanfill C & Waltz D. The memory based reasoning paradigm. In: [Kol88], pp. 414-424

....and access within a large memory of cases is the focus of this type of method. The utilization of parallel processing techniques is a characteristic, and distinguishes this approach from the others. The access and storage methods may rely on purely syntactic criteria, as in the MBR Talk system (Stanfill and Waltz, 1988), or they may attempt to utilize general domain knowledge, as the work done in Japan on massive parallel memories (Kitano, 1993) Main stream Case based reasoning. Case based reasoning is often used as a generic term, but also as a label to CBR methods in a more typical sense than above. For ....

Stanfill C. ,Waltz D. (1988), The memory based reasoning paradigm. In: Case based reasoning.

....organization and access is a focus of the case based methods. The utilization of parallel processing techniques is a characteristic of these methods, and distinguishes this approach from the others. The access and storage methods may rely on purely syntactic criteria, as in the MBR Talk system [63], or they may attempt to utilize general domain knowledge, as the work done in Japan on massive parallel memories [32] Case based reasoning. Although case based reasoning is used as a generic term in this paper, the typical case based reasoning methods have some characteristics that distinguish ....

....should be analyzed as part of the domain knowledge analysis and modeling step. A trivial solution to the problem is of course to use all input features as indices. This is the approach of syntaxbased methods within instance based and memorybased reasoning. In the memory based method of CBR Talk [63], for example, relevant features are determined by matching, in parallel, all cases in the case base, and filtering out features that belong to cases with few features in common with the problem case. In CASEY, a two step indexing method is used. Primary index features are as referred to in the ....

Stanfill, C and Waltz, D. (1988): The memory based reasoning paradigm. In: Case based reasoning. Proceedings from a workshop, Clearwater Beach, Florida, May 1988. Morgan Kaufmann Publ. pp.414424.

....expensive if the number of cases increased dramatically. More sophisticated case storage methods have been examined in other research and are applicable to ROBBIE s case library: discrimination networks (Hinrichs, 1992; Koton, 1989; Simpson, 1985) implementation on parallel machines (Evett, 1994; Stanfill Waltz, 1988), and multi stage retrieval methods (Kolodner, 1988; Simoudis, 1992) see Kolodner (1993b) for a full discussion of case storage methods) These methods are made effective by the use of good features in indexing, which ROBBIE s index refinement facilitates. Conclusions and Future Directions 206 ....

Stanfill, C. & Waltz, D. (1988). The memory-based reasoning paradigm. In Kolodner, J. (Ed.), Proceedings of a Workshop on Case-Based Reasoning, pp. 414--424 San Mateo. DARPA, Morgan Kaufmann, Inc.

.... the often proposed solution of using massive parallelism for both the parallel matching of cases and indices (Kolodner 1988, Mylymaki and Tirri, 1993) In respect to this, it is worth noticing that Thinking Machines has built a memory based reasoning software that runs on the Connection Machine (Stanfill and Waltz, 1988). 5.6. Integration with other techniques In some application domains there is a need to combine CBR with other reasoning techniques (Rissland and Skalak, 1989) such as model based or rule based reasoning. Some examples are CABARET (Rissland and Skalak, 1991) that integrates rule based and ....

Stanfill C. , Waltz D. (1988). The memory-based reasoning paradigm. In Kolodner (ed.): Case-Based Reasoning. Proceedings from a Workshop, Clearwater Beach, Florida, MorganKauffman Publ. 414-424.

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Stanfill, C. and Waltz, D. (1988b). The memory-based reasoning paradigm. In Case-Based Reasoning Workshop, pages 414--424, Clearwater Beach, FL.

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