-
2
-
-
84898963451
-
Probabilistic modeling for face orientation discrimination: Learning from labeled and unlabeled data
-
M.J. Kearns, ed, The MIT Press
-
S. Baluja, Probabilistic modeling for face orientation discrimination: Learning from labeled and unlabeled data, in: Proceedings of the 1998 conference on Advances in neural information processing systems II, M.J. Kearns, ed., The MIT Press, 1998, pp. 854-860.
-
(1998)
Proceedings of the 1998 conference on Advances in neural information processing systems II
, pp. 854-860
-
-
Baluja, S.1
-
5
-
-
54249164497
-
Estimation of individual prediction reliability using the local sensitivity analysis
-
Z. Bosnić and I. Kononenko, Estimation of individual prediction reliability using the local sensitivity analysis, Applied Intelligence 29(3) (2007), 187-203.
-
(2007)
Applied Intelligence
, vol.29
, Issue.3
, pp. 187-203
-
-
Bosnić, Z.1
Kononenko, I.2
-
7
-
-
70350059130
-
Automatic Selection of Reliability Estimates for Individual Regression Predictions Using Meta-Learning and Internal Cross-Validation
-
in press
-
Z. Bosnić and I. Kononenko, Automatic Selection of Reliability Estimates for Individual Regression Predictions Using Meta-Learning and Internal Cross-Validation, Knowledge Engineering Review (2008), in press.
-
(2008)
Knowledge Engineering Review
-
-
Bosnić, Z.1
Kononenko, I.2
-
8
-
-
54349094489
-
Comparison of approaches for estimating reliability of individual regression predictions
-
Z. Bosnić and I. Kononenko, Comparison of approaches for estimating reliability of individual regression predictions, Data & Knowledge Engineering 67(3) (2008), 504-516.
-
(2008)
Data & Knowledge Engineering
, vol.67
, Issue.3
, pp. 504-516
-
-
Bosnić, Z.1
Kononenko, I.2
-
9
-
-
62249148128
-
Evaluation of prediction reliability in regression using the transduction principle
-
B. Zajc and M. Tkalčič, eds
-
Z. Bosnić, I. Kononenko, M. Robnik-Šikonja and M. Kukar, Evaluation of prediction reliability in regression using the transduction principle, in: Proceedings of Eurocon 2003, B. Zajc and M. Tkalčič, eds, 2003, pp. 99-103.
-
(2003)
Proceedings of Eurocon 2003
, pp. 99-103
-
-
Bosnić, Z.1
Kononenko, I.2
Robnik-Šikonja, M.3
Kukar, M.4
-
12
-
-
54349123122
-
Leave-one-out error and stability of learning algorithms with applications
-
J.A.K. Suykens, ed, IOS Press
-
O. Bousquet and M. Pontil, Leave-one-out error and stability of learning algorithms with applications, in: Advances in Learning Theory: Methods, Models and Applications, J.A.K. Suykens, ed., IOS Press, 2003.
-
(2003)
Advances in Learning Theory: Methods, Models and Applications
-
-
Bousquet, O.1
Pontil, M.2
-
14
-
-
0030211964
-
Bagging Predictors
-
L. Breiman, Bagging Predictors, Machine Learning 24 (1996), 123-140.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
15
-
-
0007325881
-
Pasting bites together for prediction in large data sets and on-line
-
Technical Report, University of California
-
L. Breiman, Pasting bites together for prediction in large data sets and on-line, Technical Report, University of California, 1997.
-
(1997)
-
-
Breiman, L.1
-
16
-
-
0033351401
-
Confidence and prediction intervals for neural network ensembles
-
Washington, USA
-
J. Carney and P. Cunningham, Confidence and prediction intervals for neural network ensembles, in: Proceedings of The International Joint Conference on Neural Networks, Washington, USA, 1999, pp. 1215-1218.
-
(1999)
Proceedings of The International Joint Conference on Neural Networks
, pp. 1215-1218
-
-
Carney, J.1
Cunningham, P.2
-
19
-
-
15244360907
-
Statistical concepts in reliability
-
Chapman & Hall, London, UK
-
M.J. Crowder, A.C. Kimber, R.L. Smith and T. J. Sweeting, Statistical concepts in reliability, in: Statistical Analysis of Reliability Data Chapman & Hall, London, UK, 1991, pp. 1-11.
-
(1991)
Statistical Analysis of Reliability Data
, pp. 1-11
-
-
Crowder, M.J.1
Kimber, A.C.2
Smith, R.L.3
Sweeting, T.J.4
-
20
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
A.P. Dempster, N.M. Laird and D.B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, Series B 39(1) (1977), 1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
21
-
-
0005986550
-
Learning Classification with Unlabeled Data
-
J.D. Cowan, ed, Morgan Kaufmann Publishers, San Francisco, CA
-
V. de Sa, Learning Classification with Unlabeled Data, in: Proceedings of Neural Information Processing Systems, J.D. Cowan, ed., , Morgan Kaufmann Publishers, San Francisco, CA, 1993, pp. 112-119.
-
(1993)
Proceedings of Neural Information Processing Systems
, pp. 112-119
-
-
de Sa, V.1
-
23
-
-
65449167709
-
Cluster Quality Indexes for Symbolic Classification ?An Examination
-
Springer Berlin Heidelberg
-
A. Dudek, Cluster Quality Indexes for Symbolic Classification ?An Examination, in: Advances in Data Analysis, Springer Berlin Heidelberg, 2007, pp. 31-38.
-
(2007)
Advances in Data Analysis
, pp. 31-38
-
-
Dudek, A.1
-
24
-
-
0036931049
-
Data Perturbation for Escaping Local Maxima in Learning
-
G. Elidan, M. Ninio, N. Friedman and D. Shuurmans, Data Perturbation for Escaping Local Maxima in Learning, in: Proceedings AAAI/IAAI, 2002, pp. 13-139.
-
(2002)
Proceedings AAAI/IAAI
, pp. 13-139
-
-
Elidan, G.1
Ninio, M.2
Friedman, N.3
Shuurmans, D.4
-
25
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund and R. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, Journal of Computer and System Sciences 55(1) (1997), 119-139.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
26
-
-
38049158166
-
-
J. Gama and P.P. Rodrigues, Stream-Based Electricity Load Forecast, in: Proceedings of PKDD 2007, Lecture Notes in Artificial Intelligence 4702, J.N. Kok, ed., Warsaw, Poland, 2007, pp. 446-453.
-
J. Gama and P.P. Rodrigues, Stream-Based Electricity Load Forecast, in: Proceedings of PKDD 2007, Lecture Notes in Artificial Intelligence Vol. 4702, J.N. Kok, ed., Warsaw, Poland, 2007, pp. 446-453.
-
-
-
-
27
-
-
0002947383
-
Learning by Transduction
-
Madison, Wisconsin
-
A. Gammerman, V. Vovk and V. Vapnik, Learning by Transduction, in: Proceedings of the 14 th Conference on Uncertainty in Artificial Intelligence, Madison, Wisconsin, 1998, pp. 148-155.
-
(1998)
Proceedings of the 14 th Conference on Uncertainty in Artificial Intelligence
, pp. 148-155
-
-
Gammerman, A.1
Vovk, V.2
Vapnik, V.3
-
31
-
-
84994037050
-
Dynamic classifier selection based on multiple classifier behaviour
-
G. Giacinto and F. Roli, Dynamic classifier selection based on multiple classifier behaviour, Pattern Recognition 34(9) (2001), 1879-1881.
-
(2001)
Pattern Recognition
, vol.34
, Issue.9
, pp. 1879-1881
-
-
Giacinto, G.1
Roli, F.2
-
32
-
-
0007950880
-
Enhancing Supervised Learning with Unlabeled Data
-
Morgan Kaufmann, San Francisco, CA
-
S. Goldman and Y. Zhou, Enhancing Supervised Learning with Unlabeled Data, in: Proceedings of 17th International Conference on Machine Learning, Morgan Kaufmann, San Francisco, CA, 2000, pp. 327-334.
-
(2000)
Proceedings of 17th International Conference on Machine Learning
, pp. 327-334
-
-
Goldman, S.1
Zhou, Y.2
-
33
-
-
85084737696
-
Sensitivity Analysis for Feedforward Artificial Neural Networks with Differentiable Activation Functions
-
H. Hashem, Sensitivity Analysis for Feedforward Artificial Neural Networks with Differentiable Activation Functions, in: Proceedings of 1992 International Joint Conference on Neural Networks IJCNN92 I 1992, pp. 419-424.
-
(1992)
Proceedings of 1992 International Joint Conference on Neural Networks IJCNN92
, vol.1
, pp. 419-424
-
-
Hashem, H.1
-
35
-
-
0030654389
-
Algorithmic Stability and Sanity-Check Bounds for Leave-one-Out Cross-Validation
-
M.J. Kearns and D. Ron, Algorithmic Stability and Sanity-Check Bounds for Leave-one-Out Cross-Validation, in: Computational Learing Theory 1997, pp. 152-162.
-
(1997)
Computational Learing Theory
, pp. 152-162
-
-
Kearns, M.J.1
Ron, D.2
-
36
-
-
0035979259
-
Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments
-
M. Kerr and G. Churchill, Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments, Proc Natl Acad Sci USA 96 (2001), 8961-8965.
-
(2001)
Proc Natl Acad Sci USA
, vol.96
, pp. 8961-8965
-
-
Kerr, M.1
Churchill, G.2
-
38
-
-
77955008439
-
Experimental Designs for Sensitivity Analysis of Simulation Models
-
J. Kleijnen, Experimental Designs for Sensitivity Analysis of Simulation Models, tutorial at the Eurosim 2001 Conference, 2001.
-
(2001)
tutorial at the Eurosim 2001 Conference
-
-
Kleijnen, J.1
-
40
-
-
84945287811
-
Reliable Classifications with Machine Learning
-
Springer Verlag, Helsinki, Finland
-
M. Kukar and I. Kononenko, Reliable Classifications with Machine Learning, in: Proceedings of Machine Learning: ECML-2002, Springer Verlag, Helsinki, Finland, 2002, pp. 219-231.
-
(2002)
Proceedings of Machine Learning: ECML-2002
, pp. 219-231
-
-
Kukar, M.1
Kononenko, I.2
-
45
-
-
0003273622
-
Ridge Regressioon Confidence Machine
-
Morgan Kaufmann, San Francisco, CA
-
I. Nouretdinov, T. Melluish and V. Vovk, Ridge Regressioon Confidence Machine, in: Proceedings of the 18th International Conf. on Machine Learning, Morgan Kaufmann, San Francisco, CA, 2001, pp. 385-392.
-
(2001)
Proceedings of the 18th International Conf. on Machine Learning
, pp. 385-392
-
-
Nouretdinov, I.1
Melluish, T.2
Vovk, V.3
-
46
-
-
84888630337
-
Assessing Cluster Quality Using Multiple Measures - A Decision Tree Based Approach
-
Springer US
-
K. Osei-Bryson, Assessing Cluster Quality Using Multiple Measures - A Decision Tree Based Approach, in: The Next Wave in Computing, Optimization, and Decision Technologies, Springer US, 2005, pp. 371-384.
-
(2005)
The Next Wave in Computing, Optimization, and Decision Technologies
, pp. 371-384
-
-
Osei-Bryson, K.1
-
47
-
-
0036060632
-
Stochastic learning methods- for dynamic neural networks: Simulated and real-data comparisons
-
Inst. of Control & Comput. Eng, Poland
-
K. Patan and T. Parisini, Stochastic learning methods- for dynamic neural networks: Simulated and real-data comparisons, in: Proceedings of the American Control Conference, Inst. of Control & Comput. Eng., Poland, 2002, pp. 2577-2582.
-
(2002)
Proceedings of the American Control Conference
, pp. 2577-2582
-
-
Patan, K.1
Parisini, T.2
-
48
-
-
65449169737
-
The State of Boosting
-
Technical Report, University of Washington Seattle
-
G. Ridgeway, The State of Boosting, Technical Report, University of Washington Seattle, 1998.
-
(1998)
-
-
Ridgeway, G.1
-
50
-
-
19544375922
-
On Kernel Principal Component Regression with Covariance Inflation Criterion or Model Selection
-
Technical Report, University of Paisley
-
R. Rosipal, M. Girolami and L. Trejo, On Kernel Principal Component Regression with Covariance Inflation Criterion or Model Selection, Technical Report, University of Paisley, 2000.
-
(2000)
-
-
Rosipal, R.1
Girolami, M.2
Trejo, L.3
-
51
-
-
22944490817
-
Sensitivity Analysis for Chemical Models
-
A. Saltelli, M. Ratto, S. Tarantola and F. Campolongo, Sensitivity Analysis for Chemical Models, Chemical Reviews 105(7) (2005), 2811-2828.
-
(2005)
Chemical Reviews
, vol.105
, Issue.7
, pp. 2811-2828
-
-
Saltelli, A.1
Ratto, M.2
Tarantola, S.3
Campolongo, F.4
-
52
-
-
5444223864
-
-
John Wiley & Sons Ltd, England
-
A. Saltelli, S. Tarantola, F. Campolongo and M. Ratto, Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models, John Wiley & Sons Ltd, England, 2003.
-
(2003)
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
-
-
Saltelli, A.1
Tarantola, S.2
Campolongo, F.3
Ratto, M.4
-
53
-
-
84880657197
-
Transduction with Confidence and Credibility
-
C. Saunders, A. Gammerman and V. Vovk, Transduction with Confidence and Credibility, in: Proceedings of IJCAI 2, 1999, pp. 722-726.
-
(1999)
Proceedings of IJCAI
, vol.2
, pp. 722-726
-
-
Saunders, C.1
Gammerman, A.2
Vovk, V.3
-
55
-
-
0001108227
-
Constructive Incremental Learning from Only Local Information
-
S. Schaal and C.G. Atkeson, Constructive Incremental Learning from Only Local Information, Neural Computation 10(8) (1998), 2047-2084.
-
(1998)
Neural Computation
, vol.10
, Issue.8
, pp. 2047-2084
-
-
Schaal, S.1
Atkeson, C.G.2
-
56
-
-
84880692052
-
-
R.E. Schapire, A Brief Introduction to Boosting, in: Proceedings of IJCAI, 1999, pp. 1401-1406.
-
R.E. Schapire, A Brief Introduction to Boosting, in: Proceedings of IJCAI, 1999, pp. 1401-1406.
-
-
-
-
57
-
-
65449184280
-
-
J. Schmidhuber and J. Storck, Reinforcement driven information acquisition in nondeterministic environments, Technical Report, Technische Universitat Munchen, 1993.
-
J. Schmidhuber and J. Storck, Reinforcement driven information acquisition in nondeterministic environments, Technical Report, Technische Universitat Munchen, 1993.
-
-
-
-
58
-
-
0005977840
-
Learning with labeled and unlabeled data
-
Technical Report
-
M. Seeger, Learning with labeled and unlabeled data, Technical Report, http://www.dai.ed.ac.uk/seeger/papers.html, 2000.
-
(2000)
-
-
Seeger, M.1
-
62
-
-
84958985297
-
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers
-
K. Tsuda, G. Rätsch, S. Mika and K. Müller, Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers, Lecture Notes in Computer Science 2130 (2001), 331.
-
(2001)
Lecture Notes in Computer Science
, vol.2130
, pp. 331
-
-
Tsuda, K.1
Rätsch, G.2
Mika, S.3
Müller, K.4
-
64
-
-
0001810656
-
Predictions with Confidence Intervals (Local Error Bars)
-
Seoul, Korea
-
A. Weigend and D. Nix, Predictions with Confidence Intervals (Local Error Bars), in: Proceedings of the International Conference on Neural Information Processing (ICONIP'94), Seoul, Korea, 1994, pp. 847-852.
-
(1994)
Proceedings of the International Conference on Neural Information Processing (ICONIP'94)
, pp. 847-852
-
-
Weigend, A.1
Nix, D.2
-
65
-
-
85158158334
-
A Complexity Analysis of Cooperative Mechanisms in Reinforcement Learning
-
S.D. Whitehead, A Complexity Analysis of Cooperative Mechanisms in Reinforcement Learning, in: Proceedings of AAAI, 1991, pp. 607-613.
-
(1991)
Proceedings of AAAI
, pp. 607-613
-
-
Whitehead, S.D.1
-
66
-
-
65449155226
-
-
Wikipedia, the free encyclopedia, Confidence Interval, http://en.wikipedia.org/wiki/Confidence_interval, august 2007.
-
Wikipedia, the free encyclopedia, Confidence Interval, http://en.wikipedia.org/wiki/Confidence_interval, august 2007.
-
-
-
-
67
-
-
65449138049
-
-
Wikipedia, the free encyclopedia, Reliability, http://en.wikipedia.org/wiki/Reliability, august 2007.
-
Wikipedia, the free encyclopedia, Reliability, http://en.wikipedia.org/wiki/Reliability, august 2007.
-
-
-
-
68
-
-
0026692226
-
Stacked Generalization
-
D.H. Wolpert, Stacked Generalization, Neural Networks 5 (1992), 241-259.
-
(1992)
Neural Networks
, vol.5
, pp. 241-259
-
-
Wolpert, D.H.1
-
69
-
-
0031121318
-
Combination of Multiple Classifiers Using Local Accuracy Estimates
-
K. Woods, W.P. Kegelmeyer and K. Bowyer, Combination of Multiple Classifiers Using Local Accuracy Estimates, IEEE Transactions on PAMI 19(4) (1997), 405-410.
-
(1997)
IEEE Transactions on PAMI
, vol.19
, Issue.4
, pp. 405-410
-
-
Woods, K.1
Kegelmeyer, W.P.2
Bowyer, K.3
|