-
1
-
-
7044227562
-
AUC: A better measure than accuracy in comparing learning algorithms
-
Acapulco, Mexico
-
C.X. Ling, J. Huang, H. Zhang, AUC: a better measure than accuracy in comparing learning algorithms, in: Proc.eedings of the International Joint Conferences on Artificial Intelligence, Acapulco, Mexico, (2003), pp. 329-341.
-
(2003)
Proc.eedings of the International Joint Conferences on Artificial Intelligence
, pp. 329-341
-
-
Ling, C.X.1
Huang, J.2
Zhang, H.3
-
2
-
-
38049170364
-
Learning to rank by maximizing AUC with linear programming
-
Vancouver, BC, Canada
-
K. Ataman, N. Street, Y. Zhang, Learning to rank by maximizing AUC with linear programming, in: Proc.eedings of the International Joint Conference on Neural Networks, Vancouver, BC, Canada, (2006), pp. 123-129.
-
(2006)
Proc.eedings of the International Joint Conference on Neural Networks
, pp. 123-129
-
-
Ataman, K.1
Street, N.2
Zhang, Y.3
-
4
-
-
34147184213
-
Linear model combining by optimizing the area under the roc curve
-
Hong Kong, China
-
D.J.M. Tax, R.P.W. Duin. Arzhaeva Y, Linear model combining by optimizing the area under the roc curve, in: Proc.eedings of the International Conference on Pattern Recognition, Hong Kong, China, (2006), pp. 119-122.
-
(2006)
Proc.eedings of the International Conference on Pattern Recognition
, pp. 119-122
-
-
Tax, D.J.M.1
Duin, R.P.W.2
Arzhaeva, Y.3
-
5
-
-
48149091075
-
Maximizing area under ROC curve for biometric scores fusion
-
Toh K.A., Kim J., and Lee S. Maximizing area under ROC curve for biometric scores fusion. Pattern Recognition 41 (2008) 3373-3392
-
(2008)
Pattern Recognition
, vol.41
, pp. 3373-3392
-
-
Toh, K.A.1
Kim, J.2
Lee, S.3
-
6
-
-
39149090650
-
Maximizing the area under the ROC curve by pairwise feature combination
-
Marroccoa C., Duinb R.P.W., and Tortorellaa F. Maximizing the area under the ROC curve by pairwise feature combination. Pattern Recognition 41 (2008) 1961-1974
-
(2008)
Pattern Recognition
, vol.41
, pp. 1961-1974
-
-
Marroccoa, C.1
Duinb, R.P.W.2
Tortorellaa, F.3
-
7
-
-
38049177755
-
Efficient AUC optimization for classification
-
Warsaw, Poland
-
T. Calders, S. Jaroszewicz, Efficient AUC optimization for classification, in: Proc.eedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland. (, 2007), pp. 42-53.
-
(2007)
Proc.eedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases
, pp. 42-53
-
-
Calders, T.1
Jaroszewicz, S.2
-
8
-
-
9144265616
-
Obstacle detection and terrain classification for autonomous off-road navigation
-
Manduchi R. Obstacle detection and terrain classification for autonomous off-road navigation. Autonomous Robots 18 1 (2005) 81-102
-
(2005)
Autonomous Robots
, vol.18
, Issue.1
, pp. 81-102
-
-
Manduchi, R.1
-
9
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
Tong S., and Koller D. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research 2 (2002) 45-66
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 45-66
-
-
Tong, S.1
Koller, D.2
-
10
-
-
40149096977
-
A stopping criterion for active learning
-
Vlachos A. A stopping criterion for active learning. Computer Speech and Language 22 (2008) 295-312
-
(2008)
Computer Speech and Language
, vol.22
, pp. 295-312
-
-
Vlachos, A.1
-
12
-
-
33646023117
-
An introduction to ROC analysis
-
Fawcett T. An introduction to ROC analysis. Pattern Recognition Letters 27 (2006) 861-874
-
(2006)
Pattern Recognition Letters
, vol.27
, pp. 861-874
-
-
Fawcett, T.1
-
13
-
-
1942451946
-
Optimizing classifier performance via the Wilcoxon-Mann-Whitney statistics
-
Washington, USA
-
L. Yan, R. Dodier, M.C. Mozer, et al., Optimizing classifier performance via the Wilcoxon-Mann-Whitney statistics, in: Proc.eedings of the International Conference on Machine Learning, Washington, USA, (2003), pp. 848-855.
-
(2003)
Proc.eedings of the International Conference on Machine Learning
, pp. 848-855
-
-
Yan, L.1
Dodier, R.2
Mozer, M.C.3
-
14
-
-
14344264748
-
Optimising area under the ROC curve using gradient descent
-
Alberta, Canada
-
A. Herschtal, B. Raskutti, Optimising area under the ROC curve using gradient descent, in: Proc.eedings of the International Conference on Machine Learning, Alberta, Canada, (2004), pp. 385-392.
-
(2004)
Proc.eedings of the International Conference on Machine Learning
, pp. 385-392
-
-
Herschtal, A.1
Raskutti, B.2
-
15
-
-
34147125588
-
Is independence good for combining classifiers?
-
Barcelona, Spain
-
L.I. Kuncheva, C.J. Whitaker, C.A. Shipp, et al., Is independence good for combining classifiers? In: Proc.eedings of the International Conference on Pattern Recognition, Barcelona, Spain, (2000), pp. 168-171.
-
(2000)
Proc.eedings of the International Conference on Pattern Recognition
, pp. 168-171
-
-
Kuncheva, L.I.1
Whitaker, C.J.2
Shipp, C.A.3
-
16
-
-
32044454593
-
Determination and interpretation of the Optimal Operating Pointoptimal operating point for ROC Curvescurves derived through generalized linear models
-
Robert J.G., Crits-Christoph P., Muenz L.R., et al. Determination and interpretation of the Optimal Operating Pointoptimal operating point for ROC Curvescurves derived through generalized linear models. Understanding Statistics 2 4 (2003) 219-242
-
(2003)
Understanding Statistics
, vol.2
, Issue.4
, pp. 219-242
-
-
Robert, J.G.1
Crits-Christoph, P.2
Muenz, L.R.3
-
17
-
-
32044457458
-
A study of Gaussian mixture models of color and texture features for image classification and segmentation
-
Permuter H., and Jermyn J. A study of Gaussian mixture models of color and texture features for image classification and segmentation. Pattern Recognition 39 (2006) 695-706
-
(2006)
Pattern Recognition
, vol.39
, pp. 695-706
-
-
Permuter, H.1
Jermyn, J.2
-
18
-
-
0242466891
-
Classification experiments on real-world texture
-
Hawaii, USA
-
R. Castano, R. Manduchi, J. Fox, Classification experiments on real-world texture, in: Proc.eedings on Empirical Evaluation Methods in Computer Vision, Hawaii, USA, 2001, pp. 3-20.
-
(2001)
Proc.eedings on Empirical Evaluation Methods in Computer Vision
, pp. 3-20
-
-
Castano, R.1
Manduchi, R.2
Fox, J.3
-
19
-
-
45949086719
-
Active learning methods for interactive image retrieval
-
Gosselin P.H., and Cord M. Active learning methods for interactive image retrieval. IEEE Transactions on Image Processing 17 7 (2008) 1200-1211
-
(2008)
IEEE Transactions on Image Processing
, vol.17
, Issue.7
, pp. 1200-1211
-
-
Gosselin, P.H.1
Cord, M.2
-
20
-
-
3042575320
-
Classifier Fusionfusion for Outdoor Obstacle Detectionoutdoor obstacle detection
-
C. Dima, N. Vandapel, M. Hebert, Classifier Fusionfusion for Outdoor Obstacle Detectionoutdoor obstacle detection, in: International Conference on Robotics and Automation, (2004), pp. 665-671.
-
(2004)
International Conference on Robotics and Automation
, pp. 665-671
-
-
Dima, C.1
Vandapel, N.2
Hebert, M.3
-
21
-
-
51349160059
-
Traversability classification for UGV navigation a comparison of patch and superpixel representations
-
D. Kim, S. M. Oh, J. M. Rehg, Traversability classification for UGV navigation a comparison of patch and superpixel representations, in: The IEEE/RSJ International Conference on Intelligent Robots and Systems, (2007), pp. 3166-3173.
-
(2007)
The IEEE/RSJ International Conference on Intelligent Robots and Systems
, pp. 3166-3173
-
-
Kim, D.1
Oh, S.M.2
Rehg, J.M.3
-
23
-
-
0034482232
-
Terrain Perception for Demo III
-
P. Belutta, R. Manduchi, L. Matthies, et al., Terrain Perception for Demo III, in: Proceedings of the IEEE Intelligent Vehicles Symposium, (2000), pp. 326-331.
-
(2000)
Proceedings of the IEEE Intelligent Vehicles Symposium
, pp. 326-331
-
-
Belutta, P.1
Manduchi, R.2
Matthies, L.3
-
24
-
-
84897965802
-
AUC optimization vs. error rate minimization
-
Vancouver, Canada
-
C. Cortes, M. Mohri, AUC optimization vs. error rate minimization, in: Advances in Neural Information Processing Systems, Vancouver, Canada, (2004), pp. 313-320.
-
(2004)
Advances in Neural Information Processing Systems
, pp. 313-320
-
-
Cortes, C.1
Mohri, M.2
-
25
-
-
33646590655
-
Exploiting ACU for optimal linear combination of dichotomizers
-
Marrocco C., Molinara M., and Tortorella F. Exploiting ACU for optimal linear combination of dichotomizers. Pattern Recognition Letters 27 8 (2006) 900-907
-
(2006)
Pattern Recognition Letters
, vol.27
, Issue.8
, pp. 900-907
-
-
Marrocco, C.1
Molinara, M.2
Tortorella, F.3
-
26
-
-
33749595744
-
Tuning the hyperparameter of an AUC-optimized classifier
-
Brussels, Belgium
-
D.M.J. Tax, C. Veenman, Tuning the hyperparameter of an AUC-optimized classifier, in: Proc.eedings of the International Conference on Artificial Intelligence, Brussels, Belgium, (2005), pp. 224-231.
-
(2005)
Proc.eedings of the International Conference on Artificial Intelligence
, pp. 224-231
-
-
Tax, D.M.J.1
Veenman, C.2
-
28
-
-
0002900357
-
The case against accuracy estimation for comparing induction algorithms
-
Wisconsin, USA
-
F. Provost, T. Fawcett, R. Kohavi, The case against accuracy estimation for comparing induction algorithms, in: Proc.eedings of the International Conference on Machine Learning, Wisconsin, USA, (1998), pp. 445-553.
-
(1998)
Proc.eedings of the International Conference on Machine Learning
, pp. 445-553
-
-
Provost, F.1
Fawcett, T.2
Kohavi, R.3
-
30
-
-
0031191630
-
The use of the area under the roc curve in the evaluation of machine learning algorithms
-
Bradley A.P. The use of the area under the roc curve in the evaluation of machine learning algorithms. Pattern Recognition 30 7 (1997) 1145-1159
-
(1997)
Pattern Recognition
, vol.30
, Issue.7
, pp. 1145-1159
-
-
Bradley, A.P.1
-
33
-
-
0003260442
-
Combining statistical learning with a knowledge-based approach - A case study in intensive care monitoring
-
Bled, Slovenia
-
K. Morik, P. Brockhausen, T. Joachims, Combining statistical learning with a knowledge-based approach - A case study in intensive care monitoring, in: Proc.eedings of the International Conference on Machine Learning, Bled, Slovenia, (1999), pp. 268-277.
-
(1999)
Proc.eedings of the International Conference on Machine Learning
, pp. 268-277
-
-
Morik, K.1
Brockhausen, P.2
Joachims, T.3
-
34
-
-
0036161029
-
Support vector machines for classification in nonstandard situations
-
Lin Y., Lee Y., and Wahba G. Support vector machines for classification in nonstandard situations. Machine Learning 46 (2002) 191-202
-
(2002)
Machine Learning
, Issue.46
, pp. 191-202
-
-
Lin, Y.1
Lee, Y.2
Wahba, G.3
-
35
-
-
1942514832
-
Learning decision trees using the area under roc curve
-
Sydney, Australia
-
C. Ferri, P. Flach, J. Hernandez-Orallo, Learning decision trees using the area under roc curve, in: Proc.eedings of the International Conference on Machine Learning, Sydney, Australia, (2002), pp. 139-146.
-
(2002)
Proc.eedings of the International Conference on Machine Learning
, pp. 139-146
-
-
Ferri, C.1
Flach, P.2
Hernandez-Orallo, J.3
-
36
-
-
33745470550
-
Area under roc optimisation using a ramp approximation
-
Bethesda, MD, USA
-
A. Herschtal, B. Raskutti, P.K. Campbell, Area under roc optimisation using a ramp approximation, in: Proc.eedings of the International Conference on Data Mining, Bethesda, MD, USA, (2006).
-
(2006)
Proc.eedings of the International Conference on Data Mining
-
-
Herschtal, A.1
Raskutti, B.2
Campbell, P.K.3
-
37
-
-
0003562954
-
A simple generalization of the area under the ROC curve for multiple class classification problems
-
Hand D.J., and Till R.J. A simple generalization of the area under the ROC curve for multiple class classification problems. Machine Learning 45 (2001) 171-186
-
(2001)
Machine Learning
, vol.45
, pp. 171-186
-
-
Hand, D.J.1
Till, R.J.2
-
38
-
-
0035283313
-
Robust classification for imprecise environments
-
Provost F., and Fawcett T. Robust classification for imprecise environments. Machine Learning 42 3 (2001) 203-231
-
(2001)
Machine Learning
, vol.42
, Issue.3
, pp. 203-231
-
-
Provost, F.1
Fawcett, T.2
-
39
-
-
1942514169
-
Prodding the ROC curve: Constrained optimization of classifier performance
-
Vancouver, Canada
-
M.C. Mozer, R. Dodier, M.D. Colagrosso, C. Guerra-Salcedo, R. Wolniewicz, Prodding the ROC curve: constrained optimization of classifier performance, in: Proceedings of the International Conference on Neural Information Processing Systems, Vancouver, Canada, (2001), pp. 1409-1415.
-
(2001)
Proceedings of the International Conference on Neural Information Processing Systems
, pp. 1409-1415
-
-
Mozer, M.C.1
Dodier, R.2
Colagrosso, M.D.3
Guerra-Salcedo, C.4
Wolniewicz, R.5
-
41
-
-
49549139345
-
The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
-
Bamber D. The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. Journal of Mathematical Psychology 12 (1975) 387-415
-
(1975)
Journal of Mathematical Psychology
, Issue.12
, pp. 387-415
-
-
Bamber, D.1
-
42
-
-
33846571228
-
Optimizing area under ROC curve with SVMs
-
Valencia, Spain
-
A. Rakotomamonjy, Optimizing area under ROC curve with SVMs, in: ROC Analysis in Artificial Intelligence, 1st International Workshop, Valencia, Spain, (2004), pp. 71-80.
-
(2004)
ROC Analysis in Artificial Intelligence, 1st International Workshop
, pp. 71-80
-
-
Rakotomamonjy, A.1
-
43
-
-
85013879626
-
A sequential algorithm for training text classifiers
-
Dublin, Ireland
-
D. David Lewis, A. Gale William, A sequential algorithm for training text classifiers, in: Proc.eedings of the ACM SIGIR Conference on Research and development in information retrieval, Dublin, Ireland, (1994), pp. 3-12.
-
(1994)
Proc.eedings of the ACM SIGIR Conference on Research and development in information retrieval
, pp. 3-12
-
-
David Lewis, D.1
Gale William, A.2
-
44
-
-
0001025146
-
Query learning strategies using boosting and bagging
-
Madison, Wisconson, USA
-
N. Abe, H. Mamitsuka, Query learning strategies using boosting and bagging, in: Proc.eedings of the International Conference on Machine Learning, Madison, Wisconson, USA, (1998), pp. 1-9.
-
(1998)
Proc.eedings of the International Conference on Machine Learning
, pp. 1-9
-
-
Abe, N.1
Mamitsuka, H.2
-
45
-
-
84891750688
-
Selective sampling with redundant views
-
Austin, Texas
-
I. Muslea, S. Minton, C.A. Knoblock, Selective sampling with redundant views, In Proc.eedings of the National Conference on Artificial Intelligence, Austin, Texas, (2000), pp. 621-626.
-
(2000)
Proc.eedings of the National Conference on Artificial Intelligence
, pp. 621-626
-
-
Muslea, I.1
Minton, S.2
Knoblock, C.A.3
-
47
-
-
77649231542
-
-
C. Dima, Active Learninglearning for Outdoor Perceptionoutdoor perception, Ph.D. thesisThesis, The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, (2005).
-
C. Dima, Active Learninglearning for Outdoor Perceptionoutdoor perception, Ph.D. thesisThesis, The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, (2005).
-
-
-
-
48
-
-
0026981853
-
Query by committee
-
San Mateo, CA
-
H.S. Seung, M. Opper, H. Sompolinsky, Query by committee, In: Proc.eedings of the Workshop on Computaional Learning Theory, San Mateo, CA, (1992), pp. 287-294.
-
(1992)
Proc.eedings of the Workshop on Computaional Learning Theory
, pp. 287-294
-
-
Seung, H.S.1
Opper, M.2
Sompolinsky, H.3
-
49
-
-
0031209604
-
Selective sampling using the query by committee algorithm
-
Freund Y., Sebastian Seung H., Shamir E., et al. Selective sampling using the query by committee algorithm. Machine Learning 28 2-3 (1997) 133-168
-
(1997)
Machine Learning
, vol.28
, Issue.2-3
, pp. 133-168
-
-
Freund, Y.1
Sebastian Seung, H.2
Shamir, E.3
|