-
1
-
-
33749254183
-
-
Bach, F.R., Heckerman, D., Horvitz, E., 2005. On the path to an ideal ROC curve: Considering cost asymmetry in learning classifiers. In: Proc. 10th Internat. AISTATS Workshop.
-
Bach, F.R., Heckerman, D., Horvitz, E., 2005. On the path to an ideal ROC curve: Considering cost asymmetry in learning classifiers. In: Proc. 10th Internat. AISTATS Workshop.
-
-
-
-
2
-
-
0001185873
-
An essay towards solving a problem in the doctrine of chances
-
Bayes T. An essay towards solving a problem in the doctrine of chances. Phil. Trans. Roy. Soc. 53 (1763) 370-418
-
(1763)
Phil. Trans. Roy. Soc.
, vol.53
, pp. 370-418
-
-
Bayes, T.1
-
4
-
-
84863696328
-
-
Bounsiar, A., Beauseroy, P., Grall, E., 2005a. A straightforward SVM approach for classification with constraints. In: Proc. EUSIPCO'05 Conf., Antalya, Turkey.
-
Bounsiar, A., Beauseroy, P., Grall, E., 2005a. A straightforward SVM approach for classification with constraints. In: Proc. EUSIPCO'05 Conf., Antalya, Turkey.
-
-
-
-
5
-
-
44449155555
-
-
Bounsiar, A., Grall, E., Beauseroy, P., 2005b. Using SVM for binary classification with type I error constraint. In: Proc. IEEE ICSIT'05 Conf., Algiers, Algeria, pp. 494-499.
-
Bounsiar, A., Grall, E., Beauseroy, P., 2005b. Using SVM for binary classification with type I error constraint. In: Proc. IEEE ICSIT'05 Conf., Algiers, Algeria, pp. 494-499.
-
-
-
-
6
-
-
33947615241
-
-
Bounsiar, A., Grall, E., Beauseroy, P., 2006a. Fast training and efficient linear learning machine. In: Proc. IEEE Conf. ICASSP'06, Toulouse, France.
-
Bounsiar, A., Grall, E., Beauseroy, P., 2006a. Fast training and efficient linear learning machine. In: Proc. IEEE Conf. ICASSP'06, Toulouse, France.
-
-
-
-
7
-
-
44449142637
-
A kernel based rejection method for supervised classification
-
Bounsiar A., Grall E., and Beauseroy P. A kernel based rejection method for supervised classification. Internat. J. Comput. Intell. 3 4 (2006) 312-321
-
(2006)
Internat. J. Comput. Intell.
, vol.3
, Issue.4
, pp. 312-321
-
-
Bounsiar, A.1
Grall, E.2
Beauseroy, P.3
-
8
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges C. A tutorial on support vector machines for pattern recognition. DMKD J. 2 2 (1998) 121-167
-
(1998)
DMKD J.
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.1
-
9
-
-
0000667930
-
Training nu-support vector classifiers: Theory and algorithms
-
Chang C.-C., and Lin C.-J. Training nu-support vector classifiers: Theory and algorithms. Neural Comput. 13 (2001) 2119-2147
-
(2001)
Neural Comput.
, vol.13
, pp. 2119-2147
-
-
Chang, C.-C.1
Lin, C.-J.2
-
10
-
-
85143190195
-
-
Chew, H.G., Bogner, R.E., Lim, C.C., 2001. Dual nu-support vector machines with error rate and training size biasing. In: Proc. IEEE ICASSP Conf., Salt Lake City, USA.
-
Chew, H.G., Bogner, R.E., Lim, C.C., 2001. Dual nu-support vector machines with error rate and training size biasing. In: Proc. IEEE ICASSP Conf., Salt Lake City, USA.
-
-
-
-
11
-
-
84937744538
-
An optimum character recognition system using decision functions
-
Chow C.K. An optimum character recognition system using decision functions. IEEE Trans. Electron. Comput. EC-6 (1957) 247-254
-
(1957)
IEEE Trans. Electron. Comput. EC-6
, pp. 247-254
-
-
Chow, C.K.1
-
12
-
-
0014710323
-
On optimum error and reject trade-off
-
Chow C.K. On optimum error and reject trade-off. IEEE Trans. Informat. Theory 16 (1970) 41-46
-
(1970)
IEEE Trans. Informat. Theory
, vol.16
, pp. 41-46
-
-
Chow, C.K.1
-
13
-
-
34249753618
-
Support vector networks
-
Cortes C., and Vapnik V. Support vector networks. Mach. Learn. 20 (1995) 1-25
-
(1995)
Mach. Learn.
, vol.20
, pp. 1-25
-
-
Cortes, C.1
Vapnik, V.2
-
14
-
-
44449143170
-
-
Davenport, M.A., 2005. The 2ν-SVM: A cost-sensitive extension of the ν-SVM. Tech. Rep. TREE 0504, Rice University, Dept. of Elec. and Comp. Engineering.
-
Davenport, M.A., 2005. The 2ν-SVM: A cost-sensitive extension of the ν-SVM. Tech. Rep. TREE 0504, Rice University, Dept. of Elec. and Comp. Engineering.
-
-
-
-
15
-
-
33947673977
-
-
Davenport, M., Baraniuk, R., Scott, C., 2006. Controlling false alarms with support vector machines. In: Proc. IEEE ICASSP Conf., Toulouse, France, pp. V589-V592.
-
Davenport, M., Baraniuk, R., Scott, C., 2006. Controlling false alarms with support vector machines. In: Proc. IEEE ICASSP Conf., Toulouse, France, pp. V589-V592.
-
-
-
-
16
-
-
44449086604
-
-
Domingos, P., 1999. Metacost: A general method for making classifiers cost-sensitive. In: Proc. KDD-99.
-
Domingos, P., 1999. Metacost: A general method for making classifiers cost-sensitive. In: Proc. KDD-99.
-
-
-
-
19
-
-
84958754386
-
-
Fumera, G., Roli, F., 2002. Support vector machines with embedded rejection option. In: Lee, S., Verri, A. (Eds), Pattern Recognition With Support Vector Machines, Lecture Notes in Computer Science, 2388, pp. 68-82.
-
Fumera, G., Roli, F., 2002. Support vector machines with embedded rejection option. In: Lee, S., Verri, A. (Eds), Pattern Recognition With Support Vector Machines, Lecture Notes in Computer Science, 2388, pp. 68-82.
-
-
-
-
20
-
-
33947711188
-
-
Grall, E., Beauseroy, P., Bounsiar, A., 2006. Multilabel classification rule with performance constraints. In: Proc. IEEE ICASSP Conf., Toulouse, France.
-
Grall, E., Beauseroy, P., Bounsiar, A., 2006. Multilabel classification rule with performance constraints. In: Proc. IEEE ICASSP Conf., Toulouse, France.
-
-
-
-
21
-
-
44449127341
-
-
Grall, E., Beauseroy, P., Bounsiar, A., 2006. Quality assessment of a supervised multilabel classification rule with performance constraints. In: EUSIPCO'06 Conf., Florence, Italy.
-
Grall, E., Beauseroy, P., Bounsiar, A., 2006. Quality assessment of a supervised multilabel classification rule with performance constraints. In: EUSIPCO'06 Conf., Florence, Italy.
-
-
-
-
22
-
-
0031166673
-
The optimum class-selective rejection rule
-
Ha T. The optimum class-selective rejection rule. Trans. Pattern Anal. Mach. Intell. 19 6 (1997) 608-615
-
(1997)
Trans. Pattern Anal. Mach. Intell.
, vol.19
, Issue.6
, pp. 608-615
-
-
Ha, T.1
-
23
-
-
84898942883
-
Classification by pairwise coupling
-
Jordan M.I., Karens M.J., and Solla S.A. (Eds), MIT Press, Cambridge, MA
-
Hastie T., and Tibshirani R. Classification by pairwise coupling. In: Jordan M.I., Karens M.J., and Solla S.A. (Eds). Advances in Neural Information Processing Systems vol. 10 (1998), MIT Press, Cambridge, MA 507-513
-
(1998)
Advances in Neural Information Processing Systems
, vol.10
, pp. 507-513
-
-
Hastie, T.1
Tibshirani, R.2
-
24
-
-
0032594960
-
Moderating the outputs of support vector machine classifiers
-
Kwok J. Moderating the outputs of support vector machine classifiers. IEEE Trans.-N.N. 10 5 (1999) 1018-1031
-
(1999)
IEEE Trans.-N.N.
, vol.10
, Issue.5
, pp. 1018-1031
-
-
Kwok, J.1
-
25
-
-
0013396289
-
The Fisher, Neyman-Pearson theories of testing hypotheses: One theory or two?
-
Lehmann E.L. The Fisher, Neyman-Pearson theories of testing hypotheses: One theory or two?. J. Amer. Statist. Assoc. 88 424 (1993) 1242-1249
-
(1993)
J. Amer. Statist. Assoc.
, vol.88
, Issue.424
, pp. 1242-1249
-
-
Lehmann, E.L.1
-
26
-
-
0033698492
-
-
Madevska-Bogdanova, A., Nikolic, D., 2000. A new approach of modifying SVM outputs. In: Proc. IEEE IJCNN'00 Internat. Conf., pp. 395-398.
-
Madevska-Bogdanova, A., Nikolic, D., 2000. A new approach of modifying SVM outputs. In: Proc. IEEE IJCNN'00 Internat. Conf., pp. 395-398.
-
-
-
-
27
-
-
50149107903
-
Support vector machine classification of microarray data
-
Mukherjee S., Tamayo P., Slonim D., Verri A., Golub T., Mesirov J., and Poggio T. Support vector machine classification of microarray data. AI Memo (1999) 1677
-
(1999)
AI Memo
, pp. 1677
-
-
Mukherjee, S.1
Tamayo, P.2
Slonim, D.3
Verri, A.4
Golub, T.5
Mesirov, J.6
Poggio, T.7
-
28
-
-
0000992663
-
On the use and interpretation of certain test criteria for purposes of statistical inference
-
Neyman J., and Pearson E. On the use and interpretation of certain test criteria for purposes of statistical inference. Biometrica 20A (1928) 263-294
-
(1928)
Biometrica
, vol.20 A
, pp. 263-294
-
-
Neyman, J.1
Pearson, E.2
-
29
-
-
0000776754
-
On the problem of the most efficient tests of statistical hypothesis
-
Neyman J., and Pearson E. On the problem of the most efficient tests of statistical hypothesis. Philos. Trans. Roy. Soc. A231 9 (1933) 289-337
-
(1933)
Philos. Trans. Roy. Soc.
, vol.A231
, Issue.9
, pp. 289-337
-
-
Neyman, J.1
Pearson, E.2
-
30
-
-
84952965566
-
The testing of statistical hypotheses in relation to probabilities a priori
-
Neyman J., and Pearson E. The testing of statistical hypotheses in relation to probabilities a priori. Proc. Cambridge Philos. Soc. 29 (1933) 492-510
-
(1933)
Proc. Cambridge Philos. Soc.
, vol.29
, pp. 492-510
-
-
Neyman, J.1
Pearson, E.2
-
31
-
-
0001473437
-
On estimation of a probability density function and mode
-
Parzen E. On estimation of a probability density function and mode. Ann. Math. Statist. 33 (1962) 1065-1076
-
(1962)
Ann. Math. Statist.
, vol.33
, pp. 1065-1076
-
-
Parzen, E.1
-
32
-
-
44449116342
-
-
Platt, J., 1999. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In: Smola, A.J., Bartlet, P.L., Schölkopf, B., Schurmans, D. (Eds.), Advances in Large Margin Classifiers, pp. 61-74.
-
Platt, J., 1999. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In: Smola, A.J., Bartlet, P.L., Schölkopf, B., Schurmans, D. (Eds.), Advances in Large Margin Classifiers, pp. 61-74.
-
-
-
-
33
-
-
44449105793
-
-
Provost, P., Fawcett, T., 1997. Analysis and visualization of classifier performance: Comparison under imprecise class and cost distribution. In: KDD-97, pp. 43-48.
-
Provost, P., Fawcett, T., 1997. Analysis and visualization of classifier performance: Comparison under imprecise class and cost distribution. In: KDD-97, pp. 43-48.
-
-
-
-
34
-
-
17444438778
-
New support vector algorithms
-
Schölkopf B., Smola A.J., Williamson R., and Bartlett P. New support vector algorithms. Neural Comput. 12 5 (2000) 1207-1245
-
(2000)
Neural Comput.
, vol.12
, Issue.5
, pp. 1207-1245
-
-
Schölkopf, B.1
Smola, A.J.2
Williamson, R.3
Bartlett, P.4
-
35
-
-
34547917144
-
Performance measures for Neyman-Pearson classification
-
Scott C. Performance measures for Neyman-Pearson classification. IEEE Trans. Informat. Theory 53 8 (2007) 2852-2863
-
(2007)
IEEE Trans. Informat. Theory
, vol.53
, Issue.8
, pp. 2852-2863
-
-
Scott, C.1
-
36
-
-
4043143546
-
Reducing the classification cost of support vector classifiers through an ROC-based reject rule
-
Tortorella F. Reducing the classification cost of support vector classifiers through an ROC-based reject rule. Pattern Anal. Appl. 7 (2004) 128-143
-
(2004)
Pattern Anal. Appl.
, vol.7
, pp. 128-143
-
-
Tortorella, F.1
-
37
-
-
0000865580
-
Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
-
Turney P.D. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. J. AI Res. 2 (1995) 369-409
-
(1995)
J. AI Res.
, vol.2
, pp. 369-409
-
-
Turney, P.D.1
|