C. Stanfill and D. Waltz. Toward memory-based reasoning. Communi- cations of the Association for Computing Machinery, 29:1213-1228, 1986. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Lazy Incremental Learning of Control Knowledge for Efficiently.. - Borrajo (1996) (15 citations) (Correct)
.... that will be needed to obtain a certain degree of accuracy, based on the work on computational learning theory (Valiant, 1984) 6 Related Work Most previous lazy learning approaches have been mostly inductive approaches, such the work in instance based learning (Aha et al. 1991) memory based (Stanfill and Waltz, 1986), or examplat based (Porter et al. 1990) Only some of the work has been applied to planning, usually in the context of analogy or case based reasoning (Hammond, 1989, Hanks and Weld, 1995, Kambhampati, 1989, Kettler et al. 1994, Veloso, 1994a, Veloso, 1994b) Most of this work concern ....
C. Stanfill and D. Waltz. Toward memory-based reasoning. Communi- cations of the Association for Computing Machinery, 29:1213-1228, 1986.
Application of K-NN and FPTC Based Text Categorization Algorithms.. - Ilhan (2001) (Correct)
....q ; x t ) 5] Then return the categories of instances in Similar, in decreasing order by the number of times the category is seen in Similar. Figure 3.2: The k Nearest Neighbor Regression There is a variety of k nearest neighbor classi er approaches in the literature. Stan ll and Waltz [34] introduced the Value Added Metric (VAD) to de ne similarity when using symbolic valued features. Kelly and Davis [17] introduced the weighted k NN algorithm and a recent work by Salzberg [32] has given the best case results or the nearest neighbor learning. An experimental comparison work the NN ....
Waltz, D., and Stanll, C., Toward memory-based reasoning, Communications of the Association for Computing Machinery, 29:1213-1228, 1986.
Lazy Incremental Learning of Control Knowledge for.. - Borrajo, Veloso (1996) (15 citations) (Correct)
.... that will be needed to obtain a certain degree of accuracy, based on the work on computational learning theory (Valiant, 1984) 6 Related Work Most previous lazy learning approaches have been mostly inductive approaches, such the work in instance based learning (Aha et al. 1991) memory based (Stanfill and Waltz, 1986), or examplar based (Porter et al. 1990) Only some of the work has been applied to planning, usually in the context of analogy or case based reasoning (Hammond, 1989, Hanks and Weld, 1995, Kambhampati, 1989, Kettler et al. 1994, Veloso, 1994a, Veloso, 1994b) Most of this work concern ....
C. Stanfill and D. Waltz. Toward memory-based reasoning. Communications of the Association for Computing Machinery, 29:1213--1228, 1986.
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