-
2
-
-
33748991193
-
Cost curves: An improved method for visualizing classifier performance
-
Drummond, C., Holte, R.C.: Cost curves: An improved method for visualizing classifier performance. Machine Learning 65(1), 95-130 (2006)
-
(2006)
Machine Learning
, vol.65
, Issue.1
, pp. 95-130
-
-
Drummond, C.1
Holte, R.C.2
-
3
-
-
33745886270
-
Classifier technology and the illusion of progress
-
Hand, D.J.: Classifier technology and the illusion of progress. Statistical Sciences 21(1), 1-15 (2006)
-
(2006)
Statistical Sciences
, vol.21
, Issue.1
, pp. 1-15
-
-
Hand, D.J.1
-
4
-
-
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
-
5
-
-
84864031047
-
Correcting sample selection bias by unlabeled data
-
Scholkopf, B, Piatt, J, Hoffman, T, eds, MIT Press, Cambridge
-
Huang, J., Smola, A.J., Gretton, A., Borgwardt, K.M., Scholkopf, B.: Correcting sample selection bias by unlabeled data. In: Scholkopf, B., Piatt, J., Hoffman, T. (eds.) Advances in Neural Information Processing Systems 19, pp. 601-608. MIT Press, Cambridge (2007)
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 601-608
-
-
Huang, J.1
Smola, A.J.2
Gretton, A.3
Borgwardt, K.M.4
Scholkopf, B.5
-
6
-
-
33845990606
-
Why question machine learning evaluation methods? an illustrative review of the shortcomings of current methods
-
Boston, USA
-
Japkowicz, N.: Why question machine learning evaluation methods? an illustrative review of the shortcomings of current methods. In: AAAI-2006 Workshop on Evaluation Methods for Machine Learning, Boston, USA (2006)
-
(2006)
AAAI-2006 Workshop on Evaluation Methods for Machine Learning
-
-
Japkowicz, N.1
-
7
-
-
0000833531
-
The impact of changing populations on classifier performance
-
San Diego, CA, pp
-
Kelly, M.G., Hand, D.J., Adams, N.M.: The impact of changing populations on classifier performance. In: Proceedings of Fifth International Conference on SIG Knowledge Discovery and Data Mining, San Diego, CA, pp. 367-371 (1999)
-
(1999)
Proceedings of Fifth International Conference on SIG Knowledge Discovery and Data Mining
, pp. 367-371
-
-
Kelly, M.G.1
Hand, D.J.2
Adams, N.M.3
-
8
-
-
85166317163
-
Approaches to online learning and concept drift for user identification in computer security
-
Lane, T., Brodley, C.E.: Approaches to online learning and concept drift for user identification in computer security. In: Knowledge Discovery and Data Mining, pp. 259-263 (1998)
-
(1998)
Knowledge Discovery and Data Mining
, pp. 259-263
-
-
Lane, T.1
Brodley, C.E.2
-
9
-
-
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
-
10
-
-
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
-
13
-
-
34547980509
-
-
Yamazaki, K., Kawanabe, M., Watanabe, S., Sugiyama, M., Müller, K.: Asymptotic bayesian generalization error when training and test distributions are different. In: ICML 2007, pp. 1079-1086. ACM Press, New York (2007)
-
Yamazaki, K., Kawanabe, M., Watanabe, S., Sugiyama, M., Müller, K.: Asymptotic bayesian generalization error when training and test distributions are different. In: ICML 2007, pp. 1079-1086. ACM Press, New York (2007)
-
-
-
|