-
2
-
-
52149101978
-
Reliable classifiers in ROC space
-
S.Vanderlooy, I.G. Sprinkhuizen Kuyper, and E.N. Smirnov, "Reliable classifiers in ROC space", In Proceedings of the 15th BENELEARN Machine Learning Conference, pp. 27-36, 2006.
-
(2006)
Proceedings of the 15th BENELEARN Machine Learning Conference
, pp. 27-36
-
-
Vanderlooy, S.1
Sprinkhuizen Kuyper, I.G.2
Smirnov, E.N.3
-
3
-
-
52149096877
-
An Overview of Algorithmic Randomness and its Application to Reliable Instance Classification
-
07-02, Universiteit Maastricht
-
S.Vanderlooy, I.G. Sprinkhuizen Kuyper, "An Overview of Algorithmic Randomness and its Application to Reliable Instance Classification", Technical Report MICC-IKAT 07-02, Universiteit Maastricht, 2007.
-
(2007)
Technical Report MICC-IKAT
-
-
Vanderlooy, S.1
Sprinkhuizen Kuyper, I.G.2
-
4
-
-
0002947383
-
Learning by transduction
-
Madison, USA, pp, Jul
-
A. Gammerman, V. Vapnik and V. Vovk, "Learning by transduction", In 14th Conference on Uncertainty in Artificial Intelligence, Madison, USA, pp. 148-156, Jul.1998.
-
(1998)
14th Conference on Uncertainty in Artificial Intelligence
, pp. 148-156
-
-
Gammerman, A.1
Vapnik, V.2
Vovk, V.3
-
5
-
-
84880657197
-
Transduction with confidence and credibility
-
Stockholm, Sweden, pp
-
C. Saunders, A. Gammerman, and V. Vovk, "Transduction with confidence and credibility", In Proceedings of the International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 722-726, 1999.
-
(1999)
Proceedings of the International Joint Conference on Artificial Intelligence
, pp. 722-726
-
-
Saunders, C.1
Gammerman, A.2
Vovk, V.3
-
6
-
-
30044437295
-
A Universal Well-Calibrated Algorithm for On-line Classification
-
V. Vovk, "A Universal Well-Calibrated Algorithm for On-line Classification", Journal of Machine Learning Research, 2004, 5, pp.575-604.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 575-604
-
-
Vovk, V.1
-
7
-
-
19544379828
-
Comparing the Bayes and typicalness frameworks
-
Freiburg, Germany, pp, Sep
-
T. Melluish, C. Saunders, I. Nouretdinov, and V. Vovk, "Comparing the Bayes and typicalness frameworks", Proceedings of the 12th European Conference on Machine Learning, Freiburg, Germany, pp. 143-152, Sep. 2001.
-
(2001)
Proceedings of the 12th European Conference on Machine Learning
, pp. 143-152
-
-
Melluish, T.1
Saunders, C.2
Nouretdinov, I.3
Vovk, V.4
-
8
-
-
57749109732
-
-
V. Vapnik, Estimation of Dependencies Based on Empirical Data, Springer-Verlag, Berlin, 1982. A. Gammerman, and V. Vovk, Hedging predictions in machine learning, Computer Journal, 2007, 50:pp. 151-177.
-
V. Vapnik, Estimation of Dependencies Based on Empirical Data, Springer-Verlag, Berlin, 1982. A. Gammerman, and V. Vovk, "Hedging predictions in machine learning", Computer Journal, 2007, 50:pp. 151-177.
-
-
-
-
10
-
-
33947244675
-
-
Nouretdinov and V. Vovk, Criterion of calibration for transductive confidence machine with limited feedback, Theoretical Computer Science archive, 2006, 64(1):pp.3-9.
-
Nouretdinov and V. Vovk, "Criterion of calibration for transductive confidence machine with limited feedback", Theoretical Computer Science archive, 2006, 64(1):pp.3-9.
-
-
-
-
11
-
-
52149120844
-
Transductive confidence machines for pattern recognition
-
Proedrou, I. Nouretdinov, V. Vovk and A. Gammerman, "Transductive confidence machines for pattern recognition", Proceedings of the 13th European Conference on Machine Learning, pp. 381-390, 2002.
-
(2002)
Proceedings of the 13th European Conference on Machine Learning
, pp. 381-390
-
-
Proedrou1
Nouretdinov, I.2
Vovk, V.3
Gammerman, A.4
-
12
-
-
33644631583
-
Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines
-
Tony Bellotti, Zhiyuan Luo, Alex Gammerman, Frederick Van Delft and Vaskar Saha, "Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines", International Journal of Neural Systems, 2005, 15(4):pp.247-258.
-
(2005)
International Journal of Neural Systems
, vol.15
, Issue.4
, pp. 247-258
-
-
Bellotti, T.1
Luo, Z.2
Gammerman, A.3
Van Delft, F.4
Saha, V.5
-
13
-
-
84948132465
-
Comparing the Bayes and typicalness frameworks
-
Proceedings of the 12th European Conference on Machine Learning
-
T. Melluish, C. Saunders, I. Nouretdinov and V. Vovk, "Comparing the Bayes and typicalness frameworks", In Proceedings of the 12th European Conference on Machine Learning, LNAI, Vol 2167, pp 360-371,2001.
-
(2001)
LNAI
, vol.2167
, pp. 360-371
-
-
Melluish, T.1
Saunders, C.2
Nouretdinov, I.3
Vovk, V.4
-
14
-
-
57749120130
-
-
S. Vanderlooy, Laurens van der Maaten, and I.G. Sprinkhuizen-Kuyper, Off-Line Learning with Transductive
-
S. Vanderlooy, Laurens van der Maaten, and I.G. Sprinkhuizen-Kuyper, "Off-Line Learning with Transductive
-
-
-
-
15
-
-
57749097233
-
-
Confidence Machines: an Empirical Evaluation, Proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, LNAI, 4571, pp. 310-323, Leipzig, Germany, July, 2007.
-
Confidence Machines: an Empirical Evaluation", Proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, LNAI, Vol 4571, pp. 310-323, Leipzig, Germany, July, 2007.
-
-
-
-
16
-
-
15944418607
-
Random forest similarity for protein-protein interaction prediction from multiple sources
-
Qi. Y., Klein Seetharaman J., and Bar Joseph Z., "Random forest similarity for protein-protein interaction prediction from multiple sources", Pacific Symposium on Biocomputing, 10, pp. 531-542, 2005.
-
(2005)
Pacific Symposium on Biocomputing
, vol.10
, pp. 531-542
-
-
Qi, Y.1
Klein Seetharaman, J.2
Bar Joseph, Z.3
-
17
-
-
0035478854
-
Random forests
-
Breiman L., "Random forests", Machine Learning, 2001, 45(1):pp. 5-32.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
18
-
-
10444221886
-
Diversity Creation Methods: A Survey and Categorisation
-
Brown G., Wyatt J., Harris R. and Yao X., "Diversity Creation Methods: A Survey and Categorisation", Information Fusion, 2005, 5, pp. 5-20.
-
(2005)
Information Fusion
, vol.5
, pp. 5-20
-
-
Brown, G.1
Wyatt, J.2
Harris, R.3
Yao, X.4
-
19
-
-
0002656659
-
Machine-Learning Applications of Algorithmic Randomness
-
V. Vovk, A. Gammerman, and C. Saunders, "Machine-Learning Applications of Algorithmic Randomness", Proceedings of 16th International Conference on Machine Learning, pp. 444-453, 1999.
-
(1999)
Proceedings of 16th International Conference on Machine Learning
, pp. 444-453
-
-
Vovk, V.1
Gammerman, A.2
Saunders, C.3
-
20
-
-
18344371384
-
The definition of random sequence
-
Per. Martin-Löf, "The definition of random sequence", Information and control, 1966,9(3):pp.602-619.
-
(1966)
Information and control
, vol.9
, Issue.3
, pp. 602-619
-
-
-
21
-
-
0030211964
-
Bagging Predictors
-
Breiman L., "Bagging Predictors", Machine Learning, 1996, 24(2):pp. 123-140.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
22
-
-
19044399684
-
Classification subtype discovery and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
-
Yeoh E.J., Ross M.E., Shurtleff S.A., et al, "Classification subtype discovery and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling", Cancer Cell, 2002, 1(2):pp.133-143.
-
(2002)
Cancer Cell
, vol.1
, Issue.2
, pp. 133-143
-
-
Yeoh, E.J.1
Ross, M.E.2
Shurtleff, S.A.3
|