-
1
-
-
84877758755
-
Decontamination of training samples for supervised pattern recognition methods
-
Springer, Berlin, Heidelberg
-
R. Barandela, E. Gasca, Decontamination of training samples for supervised pattern recognition methods, in: Advances in Pattern Recognition, Lecture Notes in Computer Science, vol. 1876, Springer, Berlin, Heidelberg, 2000, pp. 621-630.
-
(2000)
Advances in Pattern Recognition, Lecture Notes in Computer Science
, vol.1876
, pp. 621-630
-
-
Barandela, R.1
Gasca, E.2
-
3
-
-
84887044903
-
Multi-class classification in the presence of labelling errors
-
ESANN 2011
-
J. Bootkrajang, A. Kabán, Multi-class classification in the presence of labelling errors, in: Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2011, 2011, pp. 345-350.
-
(2011)
Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
, pp. 345-350
-
-
Bootkrajang, J.1
-
4
-
-
84866857513
-
Label-noise robust logistic regression and its applications
-
J. Bootkrajang, A. Kabán, Label-noise robust logistic regression and its applications, in: ECML/PKDD (1), 2012, pp. 143-158.
-
(2012)
ECML/PKDD
, Issue.1
, pp. 143-158
-
-
Bootkrajang, J.1
-
5
-
-
84875610394
-
Classification of mislabelled microarrays using robust sparse logistic regression
-
J. Bootkrajang, and A. Kabán Classification of mislabelled microarrays using robust sparse logistic regression Bioinformatics 29 7 2013 870 877
-
(2013)
Bioinformatics
, vol.29
, Issue.7
, pp. 870-877
-
-
Bootkrajang, J.1
Kabán, A.2
-
6
-
-
67649389414
-
Robust supervised classification with mixture models learning from data with uncertain labels
-
C. Bouveyron, and S. Girard Robust supervised classification with mixture models learning from data with uncertain labels Pattern Recognit. 42 11 2009 2649 2658
-
(2009)
Pattern Recognit.
, vol.42
, Issue.11
, pp. 2649-2658
-
-
Bouveyron, C.1
Girard, S.2
-
8
-
-
77956907243
-
On over-fitting in model selection and subsequent selection bias in performance evaluation
-
G.C. Cawley, and N.L. Talbot On over-fitting in model selection and subsequent selection bias in performance evaluation J. Mach. Learn. Res. 99 2010 2079 2107
-
(2010)
J. Mach. Learn. Res.
, vol.99
, pp. 2079-2107
-
-
Cawley, G.C.1
Talbot, N.L.2
-
9
-
-
34247558132
-
Preventing over-fitting during model selection via bayesian regularisation of the hyper-parameters
-
G.C. Cawley, and N.L.C. Talbot Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters J. Mach. Learn. Res. 8 2007 841 861 (Pubitemid 46677044)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 841-861
-
-
Cawley, G.C.1
Talbot, N.L.C.2
-
10
-
-
0035563947
-
A component-wise EM algorithm for mixtures
-
G. Celeux, S. Chrétien, F. Forbes, and A. Mkhadri A component-wise em algorithm for mixtures J. Comput. Graph. Stat. 10 4 2001 697 712 (Pubitemid 33721250)
-
(2001)
Journal of Computational and Graphical Statistics
, vol.10
, Issue.4
, pp. 697-712
-
-
Celeux, G.1
Chretien, S.2
Forbes, F.3
Mkhadri, A.4
-
12
-
-
0011210217
-
Linear discriminant analysis with misallocation in training samples
-
R.S. Chhikara, and J. McKeon Linear discriminant analysis with misallocation in training samples J. Am. Stat. Assoc. 79 388 1984 899 906
-
(1984)
J. Am. Stat. Assoc.
, vol.79
, Issue.388
, pp. 899-906
-
-
Chhikara, R.S.1
McKeon, J.2
-
13
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
DOI 10.1109/CVPR.2005.177, 1467360, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
-
N. Dalal, B. Triggs, Histograms of oriented gradients for human detection, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005 (CVPR 2005), vol. 1, 2005, pp. 886-893. (Pubitemid 43897286)
-
(2005)
Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
, vol.I
, pp. 886-893
-
-
Dalal, N.1
Triggs, B.2
-
14
-
-
55349088563
-
Pattern recognition with a Bayesian kernel combination machine
-
T. Damoulas, and M.A. Girolami Pattern recognition with a Bayesian kernel combination machine Pattern Recognit. Lett. 30 1 2009 46 54
-
(2009)
Pattern Recognit. Lett.
, vol.30
, Issue.1
, pp. 46-54
-
-
Damoulas, T.1
Girolami, M.A.2
-
15
-
-
80052422950
-
Label noise-tolerant hidden Markov models for segmentation: Application to ECGs
-
B. Frénay, G. de Lannoy, M. Verleysen, Label noise-tolerant hidden Markov models for segmentation: application to ECGs, in: ECML/PKDD (1), 2011, pp. 455-470.
-
(2011)
ECML/PKDD
, Issue.1
, pp. 455-470
-
-
Frénay, B.1
-
16
-
-
80052213499
-
Multiple kernel learning algorithms
-
M. Gönen, and E. Alpaydin Multiple kernel learning algorithms J. Mach. Learn. Res. 12 2011 2211 2268
-
(2011)
J. Mach. Learn. Res.
, vol.12
, pp. 2211-2268
-
-
Gönen, M.1
Alpaydin, E.2
-
17
-
-
0007984413
-
Misclassification of the dependent variable in a discrete-response setting
-
PII S0304407698000153
-
J.A. Hausman, J. Abrevaya, and F.M. Scott-Morton Misclassification of the dependent variable in a discrete-response setting J. Econom. 87 2 1998 239 269 (Pubitemid 128430148)
-
(1998)
Journal of Econometrics
, vol.87
, Issue.2
, pp. 239-269
-
-
Hausman, J.A.1
Abrevaya, J.2
Scott-Morton, F.M.3
-
18
-
-
35048842249
-
Editing training data for knn classifiers with neural network ensemble
-
Springer, Berlin, Heidelberg
-
Y. Jiang, Z.-H. Zhou, Editing training data for knn classifiers with neural network ensemble, in: Advances in Neural Networks, Lecture Notes in Computer Science, vol. 3173, Springer, Berlin, Heidelberg, 2004, pp. 356-361.
-
(2004)
Advances in Neural Networks, Lecture Notes in Computer Science
, vol.3173
, pp. 356-361
-
-
Jiang, Y.1
Zhou, Z.-H.2
-
19
-
-
0015000439
-
Some results on Tchebycheffian spline functions
-
G.S. Kimeldorf, and G. Wahba Some results on Tchebycheffian spline functions J. Math. Anal. Appl. 33 1 1971 82 95
-
(1971)
J. Math. Anal. Appl.
, vol.33
, Issue.1
, pp. 82-95
-
-
Kimeldorf, G.S.1
Wahba, G.2
-
20
-
-
0025572815
-
Efficiency of discriminant analysis when initial samples are classified stochastically
-
T. Krishnan, and S.C. Nandy Efficiency of discriminant analysis when initial samples are classified stochastically Pattern Recognit. 23 5 1990 529 537
-
(1990)
Pattern Recognit.
, vol.23
, Issue.5
, pp. 529-537
-
-
Krishnan, T.1
Nandy, S.C.2
-
21
-
-
0001385070
-
Discriminant analysis when the initial samples are misclassified
-
P.A. Lachenbruch Discriminant analysis when the initial samples are misclassified Technometrics 8 4 1966 657 662
-
(1966)
Technometrics
, vol.8
, Issue.4
, pp. 657-662
-
-
Lachenbruch, P.A.1
-
22
-
-
0016093646
-
Discriminant analysis when the initial samples are misclassified ii non-random misclassification models
-
P.A. Lachenbruch Discriminant analysis when the initial samples are misclassified ii non-random misclassification models Technometrics 16 3 1974 419 424
-
(1974)
Technometrics
, vol.16
, Issue.3
, pp. 419-424
-
-
Lachenbruch, P.A.1
-
23
-
-
8844263749
-
A statistical framework for genomic data fusion
-
DOI 10.1093/bioinformatics/bth294
-
G.R.G. Lanckriet, T. De Bie, N. Cristianini, M.I. Jordan, and W.S. Noble A statistical framework for genomic data fusion Bioinformatics 20 16 2004 2626 2635 (Pubitemid 39530149)
-
(2004)
Bioinformatics
, vol.20
, Issue.16
, pp. 2626-2635
-
-
Lanckriet, G.R.G.1
De Bie, T.2
Cristianini, N.3
Jordan, M.I.4
Noble, S.5
-
25
-
-
34547697572
-
Classification in the presence of class noise using a probabilistic Kernel Fisher method
-
DOI 10.1016/j.patcog.2007.05.006, PII S0031320307002166
-
Y. Li, L.F. Wessels, D. de Ridder, and M.J. Reinders Classification in the presence of class noise using a probabilistic kernel fisher method Pattern Recognit. 40 12 2007 3349 3357 (Pubitemid 47223298)
-
(2007)
Pattern Recognition
, vol.40
, Issue.12
, pp. 3349-3357
-
-
Li, Y.1
Wessels, L.F.A.2
De Ridder, D.3
Reinders, M.J.T.4
-
26
-
-
0033284915
-
Object recognition from local scale-invariant features
-
IEEE Computer Society, Washington, DC, USA
-
D.G. Lowe, Object recognition from local scale-invariant features, in: Proceedings of the International Conference on Computer Vision (ICCV '99), vol. 2, IEEE Computer Society, Washington, DC, USA, 1999, pp. 1150-1157.
-
(1999)
Proceedings of the International Conference on Computer Vision (ICCV '99)
, vol.2
, pp. 1150-1157
-
-
Lowe, D.G.1
-
27
-
-
0026712043
-
Learning with an unreliable teacher
-
G. Lugosi Learning with an unreliable teacher Pattern Recognit. 25 1992 79 87
-
(1992)
Pattern Recognit.
, vol.25
, pp. 79-87
-
-
Lugosi, G.1
-
28
-
-
0030609723
-
Logistic regression when the outcome is measured with uncertainty
-
L.S. Magder, and J.P. Hughes Logistic regression when the outcome is measured with uncertainty Am. J. Epidemiol. 146 2 1997 195 203
-
(1997)
Am. J. Epidemiol.
, vol.146
, Issue.2
, pp. 195-203
-
-
Magder, L.S.1
Hughes, J.P.2
-
30
-
-
33748659204
-
Detecting potential labeling errors in microarrays by data perturbation
-
DOI 10.1093/bioinformatics/btl346
-
A. Malossini, E. Blanzieri, and R.T. Ng Detecting potential labeling errors in microarrays by data perturbation Bioinformatics 22 17 2006 2114 2121 (Pubitemid 44390902)
-
(2006)
Bioinformatics
, vol.22
, Issue.17
, pp. 2114-2121
-
-
Malossini, A.1
Blanzieri, E.2
Ng, R.T.3
-
32
-
-
0026980836
-
Classifier learning from noisy data as probabilistic evidence combination
-
S.W. Norton, H. Hirsh, Classifier learning from noisy data as probabilistic evidence combination, in: Proceedings of the 10th National Conference on Artificial Intelligence, AAAI Press, Palo Alto, California, USA, 1992, pp. 141-146. (Pubitemid 23633597)
-
(1992)
Proceedings Tenth National Conference on Artificial Intelligence
, pp. 141-146
-
-
Norton Steven, W.1
Hirsh Haym2
-
33
-
-
0036647193
-
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
-
DOI 10.1109/TPAMI.2002.1017623
-
T. Ojala, M. Pietikainen, and T. Maenpaa Multiresolution gray-scale and rotation invariant texture classification with local binary patterns IEEE Trans. Pattern Anal. Mach. Intell. 24 7 2002 971 987 (Pubitemid 34835471)
-
(2002)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.24
, Issue.7
, pp. 971-987
-
-
Ojala, T.1
Pietikainen, M.2
Maenpaa, T.3
-
34
-
-
0034818556
-
Gene functional classification from heterogeneous data
-
P. Pavlidis, J. Weston, J. Cai, W.N. Grundy, Gene functional classification from heterogeneous data, in: Proceedings of the Fifth Annual International Conference on Computational biology (RECOMB '01), ACM, New York, NY, USA, 2001, pp. 249-255. (Pubitemid 32866167)
-
(2001)
Proceedings of the Annual International Conference on Computational Molecular Biology, RECOMB
, pp. 249-255
-
-
Pavlidis, P.1
Cai, J.2
Weston, J.3
Grundy, W.N.4
-
35
-
-
0342502195
-
Soft margins for AdaBoost
-
DOI 10.1023/A:1007618119488
-
G. Rätsch, T. Onoda, K.-R. Müller, Soft margins for adaboost, Mach. Learn. (2001) 287-320. (Pubitemid 32188795)
-
(2001)
Machine Learning
, vol.42
, Issue.3
, pp. 287-320
-
-
Ratsch, G.1
Onoda, T.2
Muller, K.-R.3
-
36
-
-
77951954464
-
Learning from crowds
-
V.C. Raykar, S. Yu, L.H. Zhao, G.H. Valadez, C. Florin, L. Bogoni, and L. Moy Learning from crowds J. Mach. Learn. Res. 11 2010 1297 1322
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 1297-1322
-
-
Raykar, V.C.1
Yu, S.2
Zhao, L.H.3
Valadez, G.H.4
Florin, C.5
Bogoni, L.6
Moy, L.7
-
37
-
-
0347895067
-
Analysis of new techniques to obtain quality training sets
-
DOI 10.1016/S0167-8655(02)00225-8, PII S0167865502002258
-
J.S. Sánchez, R. Barandela, A.I. Marqués, R. Alejo, and J. Badenas Analysis of new techniques to obtain quality training sets Pattern Recognit. Lett. 24 7 2003 1015 1022 (Pubitemid 36049311)
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.7
, pp. 1015-1022
-
-
Sanchez, J.S.1
Barandela, R.2
Marques, A.I.3
Alejo, R.4
Badenas, J.5
-
38
-
-
80053360508
-
Cheap and fast - But is it good? Evaluating non-expert annotations for natural language tasks
-
R. Snow, B. O'Connor, D. Jurafsky, A. Y. Ng, Cheap and fast - but is it good? Evaluating non-expert annotations for natural language tasks, in: EMNLP, 2008, pp. 254-263.
-
(2008)
EMNLP
, pp. 254-263
-
-
Snow, R.1
O'Connor, B.2
Jurafsky, D.3
Ng, A.Y.4
-
41
-
-
70350610827
-
Learning svms from sloppily labeled data
-
Springer, Berlin, Heidelberg
-
G. Stempfel, L. Ralaivola, Learning svms from sloppily labeled data, in: ICANN (1), Lecture Notes in Computer Science, vol. 5768, Springer, Berlin, Heidelberg, 2009, pp. 884-893.
-
(2009)
ICANN (1), Lecture Notes in Computer Science
, vol.5768
, pp. 884-893
-
-
Stempfel, G.1
Ralaivola, L.2
-
42
-
-
45749120676
-
Robust boosting algorithm against mislabeling in multiclass problems
-
T. Takenouchi, S. Eguchi, N. Murata, and T. Kanamori Robust boosting algorithm against mislabeling in multiclass problems Neural Comput. 20 6 2008 1596 1630
-
(2008)
Neural Comput.
, vol.20
, Issue.6
, pp. 1596-1630
-
-
Takenouchi, T.1
Eguchi, S.2
Murata, N.3
Kanamori, T.4
-
43
-
-
68949157380
-
Robustness and regularization of support vector machines
-
H. Xu, C. Caramanis, and S. Mannor Robustness and regularization of support vector machines J. Mach. Learn. Res. 10 2009 1485 1510
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 1485-1510
-
-
Xu, H.1
Caramanis, C.2
Mannor, S.3
-
44
-
-
33750691986
-
Robust support vector machine training via convex outlier ablation
-
Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
-
L. Xu, K. Crammer, D. Schuurmans, Robust support vector machine training via convex outlier ablation, in: Proceedings of the 21st National Conference on Artificial intelligence (AAAI'06), vol. 1, 2006, pp. 536-542. (Pubitemid 44705339)
-
(2006)
Proceedings of the National Conference on Artificial Intelligence
, vol.1
, pp. 536-542
-
-
Linli, X.1
Crammer, K.2
Schuurmans, D.3
-
45
-
-
77956547440
-
Simple and efficient multiple kernel learning by group lasso
-
Z. Xu, R. Jin, H. Yang, I. King, M.R. Lyu, Simple and efficient multiple kernel learning by group lasso, in: ICML, 2010, pp. 1175-1182.
-
(2010)
ICML
, pp. 1175-1182
-
-
Xu, Z.1
Jin, R.2
Yang, H.3
King, I.4
Lyu, M.R.5
-
46
-
-
84867135321
-
Multiple kernel learning from noisy labels by stochastic programming
-
T. Yang, M. Mahdavi, R. Jin, L. Zhang, Y. Zhou, Multiple kernel learning from noisy labels by stochastic programming, in: ICML, 2012, pp. 233-240.
-
(2012)
ICML
, pp. 233-240
-
-
Yang, T.1
Mahdavi, M.2
Jin, R.3
Zhang, L.4
Zhou, Y.5
-
47
-
-
1642306201
-
Partially Supervised Learning Using an EM-Boosting Algorithm
-
DOI 10.1111/j.0006-341X.2004.00156.x
-
Y. Yasui, M. Pepe, L. Hsu, B.-L. Adam, and Z. Feng Partially supervised learning using an EM-boosting algorithm Biometrics 60 1 2004 199 206 (Pubitemid 38392632)
-
(2004)
Biometrics
, vol.60
, Issue.1
, pp. 199-206
-
-
Yasui, Y.1
Pepe, M.2
Hsu, L.3
Adam, B.-L.4
Feng, Z.5
|