-
1
-
-
0031191630
-
The use of the area under the ROC curve in the evaluation of machine learning algorithms
-
A. P. Bradley, "The use of the area under the ROC curve in the evaluation of machine learning algorithms, " Pattern Recognit., vol. 30, pp. 1145-1159, 1997.
-
(1997)
Pattern Recognit.
, vol.30
, pp. 1145-1159
-
-
Bradley, A.P.1
-
4
-
-
26444497707
-
What ROC curves can't do (and cost curves can)
-
Valencia, Spain
-
C. Drummond and R. C. Holte, "What ROC curves can't do (and cost curves can), " in Proc. First Int. Workshop on the ROC Analysis in Artificial Intelligence, Valencia, Spain, 2004, pp. 19-26.
-
(2004)
Proc. First Int. Workshop on the ROC Analysis in Artificial Intelligence
, pp. 19-26
-
-
Drummond, C.1
Holte, R.C.2
-
8
-
-
1942514832
-
Learning decision trees using the area under the ROC curve
-
Sydney, Australia
-
C. Ferri, P. Flach, and J. Hernandez, "Learning decision trees using the area under the ROC curve, " in Proc. 19th Int. Conf. Machine Learning (ICML'02), Sydney, Australia, 2002, pp. 139-146.
-
(2002)
Proc. 19th Int. Conf. Machine Learning (ICML'02)
, pp. 139-146
-
-
Ferri, C.1
Flach, P.2
Hernandez, J.3
-
9
-
-
1942421135
-
The geometry of ROC space: Understanding machine learning metrics through ROC isometrics
-
Washington, DC
-
P. A. Flach, "The geometry of ROC space: Understanding machine learning metrics through ROC isometrics, " in Proc. 20th Int. Conf. Machine Learning (ICML'03), Washington, DC, 2003, pp. 194-201.
-
(2003)
Proc. 20th Int. Conf. Machine Learning (ICML'03)
, pp. 194-201
-
-
Flach, P.A.1
-
10
-
-
4644367942
-
An efficient boosting algorithm for combining preferences
-
Y. Freund, R. Iyer, R. Schapire, and Y. Singer, "An efficient boosting algorithm for combining preferences, " J. Mach. Learn. Res., vol. 4, pp. 933-969, 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.4
, pp. 933-969
-
-
Freund, Y.1
Iyer, R.2
Schapire, R.3
Singer, Y.4
-
11
-
-
14344255188
-
A MFoM learning approach to robust multiclass multi-label text categorization
-
Banff, AB, Canada
-
S. Gao, W. Wu, C.-H. Lee, and T.-S. Chua, "A MFoM learning approach to robust multiclass multi-label text categorization, " in Proc. 21st Int. Conf. Machine Learning (ICML'04), Banff, AB, Canada, 2004, pp. 329-336.
-
(2004)
Proc. 21st Int. Conf. Machine Learning (ICML'04)
, pp. 329-336
-
-
Gao, S.1
Wu, W.2
Lee, C.-H.3
Chua, T.-S.4
-
12
-
-
1542377538
-
A maximal figure-of-merit approach to text categorization
-
Toronto, ON, Canada
-
S. Gao, W. Wu, C.-H. Lee, and T.-S. Chua, "A maximal figure-of-merit approach to text categorization, " in Proc. 26th Annu. Int. ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '03), Toronto, ON, Canada, 2003, pp. 174-181.
-
(2003)
Proc. 26th Annu. Int. ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '03)
, pp. 174-181
-
-
Gao, S.1
Wu, W.2
Lee, C.-H.3
Chua, T.-S.4
-
13
-
-
14344264748
-
Optimising area under the ROC curve using gradient descent
-
Banff, AB, Canada
-
A. Herschtal and B. Raskutti, "Optimising area under the ROC curve using gradient descent, " in Proc. 21st Int. Conf. Mach. Learn. (ICML'04), Banff, AB, Canada, 2004, pp. 385-392.
-
(2004)
Proc. 21st Int. Conf. Mach. Learn. (ICML'04)
, pp. 385-392
-
-
Herschtal, A.1
Raskutti, B.2
-
15
-
-
31844446804
-
A support vector method for multivariate performance measures
-
Bonn, Germany
-
T. Joachims, "A support vector method for multivariate performance measures, " in Proc. 22nd Int. Conf. Mach. Learn. (ICML'05), Bonn, Germany, 2005, pp. 377-384.
-
(2005)
Proc. 22nd Int. Conf. Mach. Learn. (ICML'05)
, pp. 377-384
-
-
Joachims, T.1
-
16
-
-
0242456822
-
Optimizing search engines using clickthrough data
-
Edmonton, AB, Canada
-
T. Joachims, "Optimizing search engines using clickthrough data, " in Proc. 8th ACM SIGDD Int. Conf. Knowledge Discovery Data Mining (KDD'02), Edmonton, AB, Canada, 2002, pp. 133-142.
-
(2002)
Proc. 8th ACM SIGDD Int. Conf. Knowledge Discovery Data Mining (KDD'02)
, pp. 133-142
-
-
Joachims, T.1
-
18
-
-
1942452351
-
Decision tree with better ranking
-
Washington, DC
-
X. Ling and J. Yan, "Decision tree with better ranking, " in Proc. 20th Int. Conf. Mach. Learn. ICML'03, Washington, DC, 2003, pp. 480-487.
-
(2003)
Proc. 20th Int. Conf. Mach. Learn. ICML'03
, pp. 480-487
-
-
Ling, X.1
Yan, J.2
-
19
-
-
33746071820
-
Prodding the ROC curve: Constrained optimization of classifier performance
-
M. C. Mozer, R. Dodier, and M. Colagrosso, "Prodding the ROC curve: Constrained optimization of classifier performance, " Adv. Neural Inform. Process. Syst., vol. 2, no. 14, pp. 1409-1416, 2002.
-
(2002)
Adv. Neural Inform. Process. Syst.
, vol.2
, Issue.14
, pp. 1409-1416
-
-
Mozer, M.C.1
Dodier, R.2
Colagrosso, M.3
-
20
-
-
70449405688
-
ROCCER: A ROC convex hull rule learning algorithm
-
Pisa, Italy
-
R. C. Prati and P. A. Flach, "ROCCER: A ROC convex hull rule learning algorithm, " in Proc. ECML-PKDD'04 Workshop. Adv. Induct. Rule Learn., Pisa, Italy, 2004, pp. 144-153.
-
(2004)
Proc. ECML-PKDD'04 Workshop. Adv. Induct. Rule Learn.
, pp. 144-153
-
-
Prati, R.C.1
Flach, P.A.2
-
22
-
-
26944478552
-
Margin-based ranking meets boosting in the middle
-
Bertinoro, Italy
-
C. Rudin, C. Cortes, M. Mohri, and R. Schapire, "Margin-based ranking meets boosting in the middle, " in Proc. 18th Annu. Conf. Learn. Theory (COLT'05), Bertinoro, Italy, 2005, pp. 63-78.
-
(2005)
Proc. 18th Annu. Conf. Learn. Theory (COLT'05)
, pp. 63-78
-
-
Rudin, C.1
Cortes, C.2
Mohri, M.3
Schapire, R.4
-
23
-
-
1942451946
-
Optimizing classifier performance via an approximation to the wilcoxon-mannwhitney statistic
-
Washington, DC
-
L. Yan, R. Dodier, M. C. Mozer, and R. Wolniewicz, "Optimizing classifier performance via an approximation to the wilcoxon-mannwhitney statistic, " in Proc. 20th Int. Conf. Mach. Learn. (ICML'03), Washington, DC, 2003, pp. 848-855.
-
(2003)
Proc. 20th Int. Conf. Mach. Learn. (ICML'03)
, pp. 848-855
-
-
Yan, L.1
Dodier, R.2
Mozer, M.C.3
Wolniewicz, R.4
-
24
-
-
34247604070
-
Classifier optimization for multimedia semantic concept detection
-
Toronto, ON, Canada
-
S. Gao and Q. B. Sun, "Classifier optimization for multimedia semantic concept detection, " in Proc. IEEE Int. Conf. Multimedia Expo (ICME'06), Toronto, ON, Canada, 2006, pp. 1489-1492.
-
(2006)
Proc. IEEE Int. Conf. Multimedia Expo (ICME'06)
, pp. 1489-1492
-
-
Gao, S.1
Sun, Q.B.2
-
25
-
-
34047220859
-
An ensemble classifier learning approach to ROC optimization
-
Hong Kong, China
-
S. Gao, C.-H. Lee, and J.-H. Lim, "An ensemble classifier learning approach to ROC optimization, " in Proc. 18th Int. Conf. Pattern Recog. (ICPR'06), Hong Kong, China, 2006, pp. 679-682.
-
(2006)
Proc. 18th Int. Conf. Pattern Recog. (ICPR'06)
, pp. 679-682
-
-
Gao, S.1
Lee, C.-H.2
Lim, J.-H.3
-
27
-
-
85024373635
-
A re-examination of text categorization methods
-
Berkeley, CA
-
Y. M. Yang and X. Liu, "A re-examination of text categorization methods, " in Proc. 22nd Annu. Int. ACM (SIGIR'99), Berkeley, CA, 1999, pp. 42-49.
-
(1999)
Proc. 22nd Annu. Int. ACM (SIGIR'99)
, pp. 42-49
-
-
Yang, Y.M.1
Liu, X.2
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