W.H. Wolberg, M.A. Tanner and W.Y. Loh, Diagnostic schemes for fine needle aspirates of breast masses, Analytical and Quantitative Cytology and Histology 10 (1988) 225-228. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Extracting Rules From Pruned Neural Networks for Breast Cancer.. - Setiono (1996) (15 citations) (Correct)
.... Breast Cancer Diagnosis is available publicly via anonymous ftp from the University of California Irvine repository [12] This data set has been used as the test data for several studies on pattern classification methods using linear programming techniques [3, 9, 20] and statistical techniques [21]. Each pattern in the data set has nine attributes. The nine measurements taken from fine needle aspirates from human breast tissues correspond to cytological characteristics of benign or of malignant sample. These are A 1 . clump thickness, A 2 . uniformity of cell size, A 3 . uniformity of cell ....
W.H. Wolberg, M.A. Tanner and W.Y. Loh, Diagnostic schemes for fine needle aspirates of breast masses, Analytical and Quantitative Cytology and Histology 10 (1988) 225-228.
NeuroLinear: From neural networks to oblique decision rules - Setiono, Liu (1997) (3 citations) (Correct)
....rules are extracted by NeuroLinear on two datasets. A. Detailed analysis 1: The University of Wisconsin Breast Cancer Dataset. This data set has been used as the test data for several studies on pattern classification methods using linear programming techniques [1, 13] and statistical techniques [23]. Each pattern is described by nine attributes. The nine measurements taken from fine needle aspirates from human breast tissues correspond to cytological characteristics of a benign or of a malignant pattern. They are summarized in Table 8. Table 8 The 9 attributes of the Wisconsin Breast ....
W.H. Wolberg, M.A. Tanner and W.Y. Loh, Diagnostic schemes for fine needle aspirates of breast masses, Analytical and Quantitative Cytology and Histology, 10 (1988) 225--228. 32
An Empirical Comparison of Decision Trees and Other.. - Lim, Loh, Shih (1998) (5 citations) Self-citation (Loh) (Correct)
....are discarded from the analysis. Our results are therefore based on 683 observations only. The error rates are estimated using 10 fold cross validation. A decision tree analysis of an early subset of these data using the FACT classifier is reported in Wolberg, Tanner, Loh and Vanichsetakul (1987) Wolberg, Tanner and Loh (1988), and Wolberg, Tanner and Loh (1989) The data has also been analyzed with linear programming methods (Mangasarian and Wolberg, 1990) Contraceptive method choice (cmc) The dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were ....
Wolberg, W. H., Tanner, M. A. and Loh, W.-Y. (1988). Diagnostic schemes for fine needle aspirates of breast masses, Analytical and Quantitative Cytology and Histology 10: 225--228.
A Comparison of Prediction Accuracy, Complexity, and Training .. - Lim, Loh, Shih (1999) (3 citations) Self-citation (Loh) (Correct)
....attribute value and are removed from the analysis. Our results are therefore based on 683 records. Error rates are estimated using ten fold cross validation. A decision tree analysis of a subset of the data using the FACT algorithm is reported in Wolberg, Tanner, Loh and Vanichsetakul (1987) Wolberg, Tanner and Loh (1988), and Wolberg, Tanner and Loh (1989) The dataset has also been analyzed with linear programming methods (Mangasarian and Wolberg, 1990) Contraceptive method choice (cmc) The data are taken from the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were ....
Wolberg, W. H., Tanner, M. A. and Loh, W.-Y. (1988). Diagnostic schemes for fine needle aspirates of breast masses, Analytical and Quantitative Cytology and Histology 10: 225--228.
Pattern Recognition Via Linear Programming: Theory And .. - Mangasarian, Setiono, .. (1990) (39 citations) Self-citation (Wolberg) (Correct)
....sample points encountered after the construction of the discriminant function were classified correctly, with 44 of the points being classified by the first pair of parallel planes and the 45th point by the second pair of parallel planes. In contrast to our approach, statistically based schemes [12] failed to obtain complete separation of the 369 sample points. Similarly, the linear programming formulation of Smith (2.6) can be employed in Step (i) of Algorithm 3.3 as a replacement for the 2n linear programs (3.5) In this case (c i(j) ff i(j) fi i(j) can be defined as c i(j) ....
W.H. Wolberg, M.A. Tanner and W.-Y. Loh, Diagnostic schemes for fine needle aspirates of breast masses, Analytical and Quantitative Cytology and Histology, 10, (1988), pp. 225-228.
Robust Linear Programming Discrimination Of Two Linearly.. - Bennett, Mangasarian (1992) (87 citations) (Correct)
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W. H. Wolberg, M. S. Tanner and W. Y. Loh, Diagnostic Schemes for Fine Needle Aspirates of Breast Masses, Analytical and Quantitative Cytology and Histology 10, 1988, pp. 225228.
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