-
1
-
-
33846509724
-
Minimax regret classifier for imprecise class distributions
-
Alaiz-Rodríguez, R., Guerrero-Curieses, A., Cid-Sueiro, J.: Minimax regret classifier for imprecise class distributions. Journal of Machine Learning Research 8, 103-130 (2007)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 103-130
-
-
Alaiz-Rodríguez, R.1
Guerrero-Curieses, A.2
Cid-Sueiro, J.3
-
2
-
-
0032669466
-
Growing gaussian mixtures network for classification applications
-
Alba, J., Docio, L., Docampo, D., Marquez, O.: Growing gaussian mixtures network for classification applications. Signal Process 76(1), 43-60 (1999)
-
(1999)
Signal Process
, vol.76
, Issue.1
, pp. 43-60
-
-
Alba, J.1
Docio, L.2
Docampo, D.3
Marquez, O.4
-
3
-
-
23044459586
-
A model selection algorithm for a posteriori probability estimation with neural networks
-
Arribas, J.I., Cid-Sueiro, J.: A model selection algorithm for a posteriori probability estimation with neural networks. IEEE Transactions on Neural Networks 16(4), 799-809 (2005)
-
(2005)
IEEE Transactions on Neural Networks
, vol.16
, Issue.4
, pp. 799-809
-
-
Arribas, J.I.1
Cid-Sueiro, J.2
-
4
-
-
14844357975
-
A response to webb and ting's on the application of roc analysis to predict classification performance under varying class distributions
-
Flawcett, T., Flach, P.: A response to webb and ting's on the application of roc analysis to predict classification performance under varying class distributions. Machine Learning 58, 33-38 (2005)
-
(2005)
Machine Learning
, vol.58
, pp. 33-38
-
-
Flawcett, T.1
Flach, P.2
-
5
-
-
33745903917
-
Elaboration on two points raised in classifier technology and the illusion of progress
-
Holte, R.: Elaboration on two points raised in classifier technology and the illusion of progress. Statistical Science 21(1) (2006)
-
(2006)
Statistical Science
, vol.21
, Issue.1
-
-
Holte, R.1
-
6
-
-
0035283313
-
Robust classification systems for imprecise environments
-
Provost, F., Fawcett, T.: Robust classification systems for imprecise environments. Machine Learning 42(3), 203-231 (2001)
-
(2001)
Machine Learning
, vol.42
, Issue.3
, pp. 203-231
-
-
Provost, F.1
Fawcett, T.2
-
7
-
-
0036134369
-
Adjusting a classifier for new a priori probabilities: A simple procedure
-
Saerens, M., Latinne, P., Decaestecker, C.: Adjusting a classifier for new a priori probabilities: A simple procedure. Neural Computation 14, 21-41 (2002)
-
(2002)
Neural Computation
, vol.14
, pp. 21-41
-
-
Saerens, M.1
Latinne, P.2
Decaestecker, C.3
-
9
-
-
14844366200
-
On the application of roc analysis to predict classification performance under varying class distributions
-
Webb, G., Ting, K.: On the application of roc analysis to predict classification performance under varying class distributions. Machine Learning 58(1), 25-32 (2005)
-
(2005)
Machine Learning
, vol.58
, Issue.1
, pp. 25-32
-
-
Webb, G.1
Ting, K.2
-
10
-
-
68749102903
-
Asymptotic bayesian generalization error when training and test distributions are different
-
Yamazaki, K., Kawanabe, M., Watanabe, S., Sugiyama, M., Müller, K.: Asymptotic bayesian generalization error when training and test distributions are different. In: Proc. of the 24th international conference on Machine learning (2007)
-
(2007)
Proc. of the 24th international conference on Machine learning
-
-
Yamazaki, K.1
Kawanabe, M.2
Watanabe, S.3
Sugiyama, M.4
Müller, K.5
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