-
1
-
-
80051665683
-
Class and subclass probability re-estimation to adapt classifiers in the presence of concept drift
-
Alaiz-Rodríguez R., Guerrero-Curieses A., and Cid-Sueiro J. Class and subclass probability re-estimation to adapt classifiers in the presence of concept drift Neurocomputing 74 2011 2614 2623
-
(2011)
Neurocomputing
, vol.74
, pp. 2614-2623
-
-
Alaiz-Rodríguez, R.1
Guerrero-Curieses, A.2
Cid-Sueiro, J.3
-
2
-
-
84895329418
-
Parametric link models for knowledge transfer in statistical learning.
-
Nova Publishers
-
Beninel F., Biernacki C., Bouveyron C., Jacques J., and Lourme A. Parametric link models for knowledge transfer in statistical learning. Knowledge Transfer: Practices, types and challenges 2012 Nova Publishers
-
(2012)
Knowledge Transfer: Practices, Types and Challenges
-
-
Beninel, F.1
Biernacki, C.2
Bouveyron, C.3
Jacques, J.4
Lourme, A.5
-
5
-
-
0035989821
-
A generalized discriminant rule when training population and test population differ on their discriptive parameters
-
Biernacki C., Beninel F., and Bretagnolle V. A generalized discriminant rule when training population and test population differ on their discriptive parameters Biometrics 58 2002 387 397
-
(2002)
Biometrics
, vol.58
, pp. 387-397
-
-
Biernacki, C.1
Beninel, F.2
Bretagnolle, V.3
-
6
-
-
84893146364
-
Simultaneous t-model-based clustering for data differing over time period: Application for understanding companies financial health
-
Biernacki C., and Lourme A. Simultaneous t-model-based clustering for data differing over time period: Application for understanding companies financial health Case Studies in Business, Industry and Government Statistics 4 2 2011 73 82
-
(2011)
Case Studies in Business, Industry and Government Statistics
, vol.4
, Issue.2
, pp. 73-82
-
-
Biernacki, C.1
Lourme, A.2
-
7
-
-
70449100647
-
Learning from time-changing data with adaptive windowing
-
C. Apte, D. Skillicorn, B. Liu, S. Parthasarathy
-
Bifet A., and Gavaldà R. Learning from time-changing data with adaptive windowing C. Apte, D. Skillicorn, B. Liu, S. Parthasarathy, Proceedings of the seventh SIAM international conference on data mining 2007 443 448
-
(2007)
Proceedings of the Seventh SIAM International Conference on Data Mining
, pp. 443-448
-
-
Bifet, A.1
Gavaldà, R.2
-
8
-
-
70350700681
-
New ensemble methods for evolving datastreams
-
ACM New York, NY, USA
-
Bifet A., Holmes G., Pfahringer B., Kirkby R., and Gavalda R. New ensemble methods for evolving datastreams Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining 2009 ACM New York, NY, USA 139 148
-
(2009)
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 139-148
-
-
Bifet, A.1
Holmes, G.2
Pfahringer, B.3
Kirkby, R.4
Gavalda, R.5
-
9
-
-
77957908636
-
Adaptive linear models for regression: Improving prediction when population has changed
-
Bouveyron C., and Jacques J. Adaptive linear models for regression: Improving prediction when population has changed Pattern Recognition Letters 31 14 2010 2237 2247
-
(2010)
Pattern Recognition Letters
, vol.31
, Issue.14
, pp. 2237-2247
-
-
Bouveyron, C.1
Jacques, J.2
-
10
-
-
84902687136
-
Adaptive mixtures of regression: Improving predictive inference when population has changed
-
Bouveyron C., and Jacques J. Adaptive mixtures of regression: Improving predictive inference when population has changed Communications in Statistics: Simulation and Computation 43 10 2014 2570 2592
-
(2014)
Communications in Statistics: Simulation and Computation
, vol.43
, Issue.10
, pp. 2570-2592
-
-
Bouveyron, C.1
Jacques, J.2
-
11
-
-
58549104329
-
A framework for monitoring classifiers' performance: When and why failure occurs?
-
Cieslak D.A., and Chawla N.V. A framework for monitoring classifiers' performance: When and why failure occurs? Knowledge Information Systems 18 1 2008 83 108
-
(2008)
Knowledge Information Systems
, vol.18
, Issue.1
, pp. 83-108
-
-
Cieslak, D.A.1
Chawla, N.V.2
-
14
-
-
84876730536
-
Fidos: A generalized Fisher based feature extraction method for domain shift
-
Dinh C.V., Duin R.P., Piqueras-Salazar I., and Loog M. Fidos: A generalized Fisher based feature extraction method for domain shift Pattern Recognition 46 9 2013 2510 2518
-
(2013)
Pattern Recognition
, vol.46
, Issue.9
, pp. 2510-2518
-
-
Dinh, C.V.1
Duin, R.P.2
Piqueras-Salazar, I.3
Loog, M.4
-
15
-
-
84865066024
-
Transductive learning algorithms for nonstationary environments
-
Institute of Electrical and Electronics Engineers (IEEE)
-
Ditzler G., Rosen G., and Polikar R. Transductive learning algorithms for nonstationary environments International joint conference on neural networks 2012 Institute of Electrical and Electronics Engineers (IEEE) 945 952
-
(2012)
International Joint Conference on Neural Networks
, pp. 945-952
-
-
Ditzler, G.1
Rosen, G.2
Polikar, R.3
-
16
-
-
33750352833
-
Tackling concept drift by temporal inductive transfer
-
ACM Press
-
Forman G. Tackling concept drift by temporal inductive transfer Proceedings of the ACM SIGIR conference 2006 ACM Press 252 259
-
(2006)
Proceedings of the ACM SIGIR Conference
, pp. 252-259
-
-
Forman, G.1
-
18
-
-
33745886270
-
Classifier technology and the illusion of progress
-
Hand D.J. Classifier technology and the illusion of progress Statistical Science 21 2006 1 14
-
(2006)
Statistical Science
, vol.21
, pp. 1-14
-
-
Hand, D.J.1
-
19
-
-
69549133517
-
Measuring classifier performance: A coherent alternative to the area under the ROC curve
-
Hand D.J. Measuring classifier performance: a coherent alternative to the area under the ROC curve Machine Learning 77 1 2009 103 123
-
(2009)
Machine Learning
, vol.77
, Issue.1
, pp. 103-123
-
-
Hand, D.J.1
-
20
-
-
0037598692
-
Local versus global models for classification problems: Fitting models where it matters
-
Hand D.J., and Vinciotti V. Local versus global models for classification problems: Fitting models where it matters The American Statistician 57 2 2003 124 131
-
(2003)
The American Statistician
, vol.57
, Issue.2
, pp. 124-131
-
-
Hand, D.J.1
Vinciotti, V.2
-
21
-
-
84865411615
-
Drift mining in data: A framework for addressing drift in classification
-
Hofer V., and Krempl G. Drift mining in data: A framework for addressing drift in classification Computational Statistics and Data Analysis 57 1 2013 377 391
-
(2013)
Computational Statistics and Data Analysis
, vol.57
, Issue.1
, pp. 377-391
-
-
Hofer, V.1
Krempl, G.2
-
22
-
-
84864031047
-
Correcting sample selection bias by unlabelled data
-
MIT Press
-
Huang J., Smola A.J., Gretton A., Borgwardt K.M., and Schölkopf B. Correcting sample selection bias by unlabelled data Advances in neural information processing systems Vol. 19 2006 MIT Press 601 608
-
(2006)
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
Schölkopf, B.5
-
23
-
-
77951140579
-
Extension of model-based classification for binary data when training and test population differ
-
Jacques J., and Biernacki C. Extension of model-based classification for binary data when training and test population differ Journal of Applied Statistics 37 5 2008 749 766
-
(2008)
Journal of Applied Statistics
, vol.37
, Issue.5
, pp. 749-766
-
-
Jacques, J.1
Biernacki, C.2
-
25
-
-
0000833531
-
The impact of changing populations on classifier performance
-
ACM New York, NY, USA
-
Kelly M.G., Hand D.J., and Adams N.M. The impact of changing populations on classifier performance Proceedings of the fifth ACM SIGKDD international conference on knowledge discovery and data mining 1999 ACM New York, NY, USA 367 371
-
(1999)
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 367-371
-
-
Kelly, M.G.1
Hand, D.J.2
Adams, N.M.3
-
26
-
-
0141804082
-
Detecting concept drift with support vector machines
-
P. Langley, Stanford University, Stanford, CA, USA
-
Klinkenberg R., and Joachims T. Detecting concept drift with support vector machines P. Langley, Proceedings of the seventh international conference on machine learning 2000 Stanford University, Stanford, CA, USA 487 494
-
(2000)
Proceedings of the Seventh International Conference on Machine Learning
, pp. 487-494
-
-
Klinkenberg, R.1
Joachims, T.2
-
27
-
-
80455127215
-
The algorithm APT to classify in concurrence of latency and drift
-
J. Gama, E. Bradley, J. Hollmén, Lecture Notes in Computer Science Springer Berlin/Heidelberg
-
Krempl G. The algorithm APT to classify in concurrence of latency and drift J. Gama, E. Bradley, J. Hollmén, Advances in intelligent data analysis Lecture Notes in Computer Science Vol. 7014 2011 Springer Berlin/Heidelberg 222 233
-
(2011)
Advances in Intelligent Data Analysis
, vol.7014
, pp. 222-233
-
-
Krempl, G.1
-
30
-
-
0034843832
-
The earth mover's distance is the Mallow distance: Some insights from statistics
-
Institute of Electrical and Electronics Engineers (IEEE)
-
Levina E., and Bickel P. The earth mover's distance is the Mallow distance: Some insights from statistics Proceedings of the eighth international conference on computer vision, Vol. 2 2001 Institute of Electrical and Electronics Engineers (IEEE) 251 256
-
(2001)
Proceedings of the Eighth International Conference on Computer Vision, Vol. 2
, pp. 251-256
-
-
Levina, E.1
Bickel, P.2
-
32
-
-
84874217879
-
Simultaneous Gaussian models-based clustering for samples of multiple origins
-
Lourme A., and Biernacki C. Simultaneous Gaussian models-based clustering for samples of multiple origins Computational Statistics 28 1 2013 371 391
-
(2013)
Computational Statistics
, vol.28
, Issue.1
, pp. 371-391
-
-
Lourme, A.1
Biernacki, C.2
-
33
-
-
0001616689
-
A note on asymptotic joint normality
-
Mallow C.L. A note on asymptotic joint normality Annals of Mathematical Statistics 43 2 1972 508 515
-
(1972)
Annals of Mathematical Statistics
, vol.43
, Issue.2
, pp. 508-515
-
-
Mallow, C.L.1
-
34
-
-
78049404804
-
The impact of latency on online classification learning with concept drift
-
Y. Bi, M.-A. Williams, Lecture Notes in Computer Science Springer
-
Marrs G., Hickey R., and Black M. The impact of latency on online classification learning with concept drift Y. Bi, M.-A. Williams, Knowledge science, engineering and management Lecture Notes in Computer Science Vol. 6291 2010 Springer 459 469
-
(2010)
Knowledge Science, Engineering and Management
, vol.6291
, pp. 459-469
-
-
Marrs, G.1
Hickey, R.2
Black, M.3
-
35
-
-
80052714543
-
A unifying view on dataset shift in classification
-
Moreo-Torres J.G., Raeder T., Alaiz-Rodríguez R., Chawla N.V., and Herrera F. A unifying view on dataset shift in classification Pattern Recognition 45 2012 521 530
-
(2012)
Pattern Recognition
, vol.45
, pp. 521-530
-
-
Moreo-Torres, J.G.1
Raeder, T.2
Alaiz-Rodríguez, R.3
Chawla, N.V.4
Herrera, F.5
-
38
-
-
0036134369
-
Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure
-
Saerens M., Latinne P., and Decaestecker C. Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure Neural Computing 14 2001 21 41
-
(2001)
Neural Computing
, vol.14
, pp. 21-41
-
-
Saerens, M.1
Latinne, P.2
Decaestecker, C.3
-
40
-
-
0019531996
-
Direct solutions to some multidimensional transportation problems
-
Scobey P., and Kabe D. Direct solutions to some multidimensional transportation problems Transportation Science 15 1981 1 15
-
(1981)
Transportation Science
, vol.15
, pp. 1-15
-
-
Scobey, P.1
Kabe, D.2
-
41
-
-
0037527188
-
Improving predictive inference under covariate shift by weighting the log-likelihood function
-
Shimodaira H. Improving predictive inference under covariate shift by weighting the log-likelihood function Journal of Statistical Planning and Inference 90 2000 227 244
-
(2000)
Journal of Statistical Planning and Inference
, vol.90
, pp. 227-244
-
-
Shimodaira, H.1
-
42
-
-
85161964516
-
Direct importance estimation with model selection and its application to covariate shift adaptation
-
MIT Press
-
Sugiyama M., Nakajima S., Kashima H., von Bünau P., and Kawanabe M. Direct importance estimation with model selection and its application to covariate shift adaptation Advances in neural information processing systems 2008 MIT Press 1433 1440
-
(2008)
Advances in Neural Information Processing Systems
, pp. 1433-1440
-
-
Sugiyama, M.1
Nakajima, S.2
Kashima, H.3
Von Bünau, P.4
Kawanabe, M.5
-
43
-
-
55549114317
-
Direct importance estimation for covariate shift adaptation
-
Sugiyama M., Suzuki T., Nakajima S., Kashima H., von Bünau P., and Kawanabe M. Direct importance estimation for covariate shift adaptation Annals of the Institute of Stastistical Mathematics 60 4 2008 699 746
-
(2008)
Annals of the Institute of Stastistical Mathematics
, vol.60
, Issue.4
, pp. 699-746
-
-
Sugiyama, M.1
Suzuki, T.2
Nakajima, S.3
Kashima, H.4
Von Bünau, P.5
Kawanabe, M.6
-
44
-
-
78049527112
-
Dynamic financial distress prediction using instance selection for the disposal of concept drift
-
Sun J., and Li H. Dynamic financial distress prediction using instance selection for the disposal of concept drift Expert Systems with Applications 38 2011 2566 2576
-
(2011)
Expert Systems with Applications
, vol.38
, pp. 2566-2576
-
-
Sun, J.1
Li, H.2
-
46
-
-
77951203581
-
Semi-supervised speaker identification under covariate shift
-
Yamada M., Sugiyama M., and Matsui T. Semi-supervised speaker identification under covariate shift Signal Processing 90 2010 2353 2361
-
(2010)
Signal Processing
, vol.90
, pp. 2353-2361
-
-
Yamada, M.1
Sugiyama, M.2
Matsui, T.3
-
47
-
-
34447107877
-
Adaptive credit scoring with kernel learning methods
-
Yang Y. Adaptive credit scoring with kernel learning methods European Journal of Operational Research 183 3 2007 1521 1536
-
(2007)
European Journal of Operational Research
, vol.183
, Issue.3
, pp. 1521-1536
-
-
Yang, Y.1
-
48
-
-
79960376903
-
Transfer estimation of evolving class priors in data stream classification
-
Zhang Z., and Zhou J. Transfer estimation of evolving class priors in data stream classification Pattern Recognition 43 2010 3151 3161
-
(2010)
Pattern Recognition
, vol.43
, pp. 3151-3161
-
-
Zhang, Z.1
Zhou, J.2
|