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J.C. Platt, Adult and Web Datasets. http://www.research.microsoft.com/~jplatt

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A Fast Iterative Nearest Point Algorithm for.. - Keerthi, Shevade, .. (1999)   (17 citations)  (Correct)

....suggested in section 4 based on the g function, i.e. 15) For the sake of uniform comparison, we have used the tighter criteria mentioned above. The following standard problems were used in our testing: Wisconsin Breast Cancer data[26,4] Two Spirals data[24] Checkers data[13] UCI Adult data[21]; and Web page classification data[21, 12] Except for Checkers data, for which we created a random set of points on a 4 Theta 4 checkers grid, all other data sets were downloaded from the internet sites mentioned in the above references and 28 Data Set oe 2 n m Wisconsin Breast Cancer 4.0 9 ....

....g function, i.e. 15) For the sake of uniform comparison, we have used the tighter criteria mentioned above. The following standard problems were used in our testing: Wisconsin Breast Cancer data[26,4] Two Spirals data[24] Checkers data[13] UCI Adult data[21] and Web page classification data[21, 12]. Except for Checkers data, for which we created a random set of points on a 4 Theta 4 checkers grid, all other data sets were downloaded from the internet sites mentioned in the above references and 28 Data Set oe 2 n m Wisconsin Breast Cancer 4.0 9 683 Two Spirals 0.5 2 195 Checkers 0.5 2 ....

J.C. Platt, Adult and Web Datasets. http://www.research.microsoft.com/~jplatt


A Fast Iterative Nearest Point Algorithm for.. - Keerthi, Shevade, .. (1999)   (17 citations)  (Correct)

....suggested in section 4 based on the g function, i.e. 15) For the sake of uniform comparison, we have used the tighter criteria mentioned above. The following standard problems were used in our testing: Wisconsin Breast Cancer data[24,3] Two Spirals data[22] Checkers data[12] UCI Adult data[19]; and Web page classification data[19, 11] Except for Checkers data, for which we created a random set of points on a 4 Theta 4 checkers grid (see Figure 11) all other data sets were downloaded from the sites mentioned in the above references and were used in full for training, i.e. no ....

....g function, i.e. 15) For the sake of uniform comparison, we have used the tighter criteria mentioned above. The following standard problems were used in our testing: Wisconsin Breast Cancer data[24,3] Two Spirals data[22] Checkers data[12] UCI Adult data[19] and Web page classification data[19, 11]. Except for Checkers data, for which we created a random set of points on a 4 Theta 4 checkers grid (see Figure 11) all other data sets were downloaded from the sites mentioned in the above references and were used in full for training, i.e. no division into training validation test sets was ....

J.C. Platt, Adult and Web Datasets. http://www.research.microsoft.com/~jplatt

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