| C. Chen & V. Honavar, A Neural Architecture for a High-Speed Database Query System. Accepted by International Journal of Microcomputer Applications. Preliminary version available as Iowa State University Dept. of Computer Science Tech. Rep. ISU-CS-TR 95-11, 1995b. |
....store only the known exceptions to the general rules. However, the applicability of such techniques is very dependent on the nature of the task domain and the representation of the cases. Alternatively, dedicated parallel hardware, e.g. neural network associative memories (Chen Honavar, 1995; Chen Honavar, 1996) may be used to speed up the Case in Library Degree of Match 1 4 2 5 3 1 Table 2: Degrees of match for the input case with each of the stored cases can be determined by using the scoring function shown in table 1. The degree of match is a sum of the scores obtained by matching each of the ....
Chen, C-H., & Honavar, V. (1996). A Neural Architecture for High-Speed Database Query Processing. Microcomputer Applications, 15, 7--13.
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C. Chen & V. Honavar, A Neural Architecture for a High-Speed Database Query System. Accepted by International Journal of Microcomputer Applications. Preliminary version available as Iowa State University Dept. of Computer Science Tech. Rep. ISU-CS-TR 95-11, 1995b.
No context found.
C. Chen & V. Honavar, A Neural Architecture for a High-Speed Database Query System, paper under review, 1995b.
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Chen, C-H., & Honavar, V. (1995a). A Neural Architecture for High-Speed Database Query Processing. International Journal of Microcomputer Applications. (to appear -- draft available as ISU-CS-TR95-11, Department of Computer Science, Iowa State University, Ames, IA).
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