-
1
-
-
85141266799
-
Support vector machines for multiple-instance learning
-
Stuart Andrews, Ioannis Tsochantaridis, and Thomas Hofmann. Support vector machines for multiple-instance learning. In NIPS, 2002.
-
(2002)
NIPS
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
2
-
-
42749094100
-
Learning probabilistic models of tree edit distance
-
August
-
M. Bernard, L. Boyer, A. Habrard, and M. Sebban. Learning probabilistic models of tree edit distance. Pattern Recognition, 41(8):2611-2629, August 2008.
-
(2008)
Pattern Recognition
, vol.41
, Issue.8
, pp. 2611-2629
-
-
Bernard, M.1
Boyer, L.2
Habrard, A.3
Sebban, M.4
-
8
-
-
0030649484
-
Solving the multiple instance problem with axis-parallel rectangles
-
PII S0004370296000343
-
Thomas G. Dietterich, Richard H. Lathrop, and Tomas Lozano-Perez. Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence, 89(1-2):31-71, 1997. (Pubitemid 127412230)
-
(1997)
Artificial Intelligence
, vol.89
, Issue.1-2
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
Lozano-Perez, T.3
-
9
-
-
84898941962
-
Adaptive nearest neighbor classification using support vector machines
-
MIT Press
-
Carlotta Domeniconi and Dimitrios Gunopulos. Adaptive nearest neighbor classification using support vector machines. In NIPS. MIT Press, 2002.
-
(2002)
NIPS
-
-
Domeniconi, C.1
Gunopulos, D.2
-
10
-
-
0031338770
-
Distance measures for point sets and their computation
-
T Eiter and H. Mannila. Distance measures for point sets and their computation. Acta Informatica, 34(2):109-133, 1997. (Pubitemid 127359707)
-
(1997)
Acta Informatica
, vol.34
, Issue.2
, pp. 109-133
-
-
Eiter, T.1
Mannila, H.2
-
11
-
-
31844445614
-
Optimal assignment kernels for attributed molecular graphs
-
Holger Fröhich, Jörg Wegner, Florian Sieker, and Andreas Zell. Optimal assignment kernels for attributed molecular graphs. In ICML, 2005.
-
(2005)
ICML
-
-
Fröhich, H.1
Wegner, J.2
Sieker, F.3
Zell, A.4
-
12
-
-
58049100940
-
Deterministic annealing for multiple-instance learning
-
P. V. Gehler and O. Chapelle. Deterministic annealing for multiple-instance learning. In AISTATS, 2007.
-
(2007)
AISTATS
-
-
Gehler, P.V.1
Chapelle, O.2
-
13
-
-
84864030708
-
Metric learning by collapsing classes
-
MIT Press
-
Amir Globerson and Sam Roweis. Metric learning by collapsing classes. In NIPS 18. MIT Press, 2006.
-
(2006)
NIPS 18
-
-
Globerson, A.1
Roweis, S.2
-
15
-
-
0035113097
-
The predictive toxicology challenge 2000-2001
-
C. Helma, R. D. King, S. Kramer, and A. Srinivasan. The predictive toxicology challenge 2000-2001. Bioinformatics, 17:107-108, 2001. (Pubitemid 32178021)
-
(2001)
Bioinformatics
, vol.17
, Issue.1
, pp. 107-108
-
-
Helma, C.1
King, R.D.2
Kramer, S.3
Srinivasan, A.4
-
16
-
-
14344265725
-
Boosting margin based distance functions for clustering
-
Tomer Hertz, Aharon Bar-Hillel, and Daphna Weinshall. Boosting margin based distance functions for clustering. In ICML, 2004.
-
(2004)
ICML
-
-
Hertz, T.1
Aharon, B.-H.2
Weinshall, D.3
-
17
-
-
70450164149
-
Learning a distance metric from multi-instance multi-label data
-
R. Jin, S.J. Wang, and Z.H. Zhou. Learning a distance metric from multi-instance multi-label data. In CVPR, 2009.
-
(2009)
CVPR
-
-
Jin, R.1
Wang, S.J.2
Zhou, Z.H.3
-
18
-
-
1942516950
-
Learning with idealized kernels
-
J.T. Kwok and I.W. Tsang. Learning with idealized kernels. In ICML, 2003.
-
(2003)
ICML
-
-
Kwok, J.T.1
Tsang, I.W.2
-
19
-
-
8844278523
-
Learning the kernel matrix with semi-definite programming
-
G. Lanckriet, N. Cristianini, P. L. Bartlett, L. El Ghaoui, and M. Jordan. Learning the kernel matrix with semi-definite programming. Journal of Machine Learning Research, 5:27-72, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 27-72
-
-
Lanckriet, G.1
Cristianini, N.2
Bartlett, P.L.3
El Ghaoui, L.4
Jordan, M.5
-
21
-
-
10044252062
-
A probabilistic approach to learning costs for graph edit distance
-
M. Neuhaus and H. Bunke. A probabilistic approach to learning costs for graph edit distance. In ICPR, pages III: 389-393, 2004.
-
(2004)
ICPR
, vol.3
, pp. 389-393
-
-
Neuhaus, M.1
Bunke, H.2
-
22
-
-
33744981648
-
Learning stochastic edit distance: Application in handwritten character recognition
-
DOI 10.1016/j.patcog.2006.03.011, PII S0031320306001245
-
Jose Oncina and Marc Sebban. Learning stochastic edit distance: Application in handwritten character recognition. Pattern Recognition, 39(9):1575 - 1587, 2006. (Pubitemid 43867574)
-
(2006)
Pattern Recognition
, vol.39
, Issue.9
, pp. 1575-1587
-
-
Oncina, J.1
Sebban, M.2
-
24
-
-
0035402326
-
A polynomial time computable metric between point sets
-
Jan Ramon and Maurice Bruynooghe. A polynomial time computable metric between point sets. Acta Informatica, 37(10):765-780, 2001. (Pubitemid 33384228)
-
(2001)
Acta Informatica
, vol.37
, Issue.10
, pp. 765-780
-
-
Ramon, J.1
Bruynooghe, M.2
-
26
-
-
0342280994
-
Mutagenesis: ILP experiments in a non-determinate biological domain
-
S. Wrobel, editor
-
A. Srinivasan, S. Muggleton, R.D. King, and M.J.E. Sternberg. Mutagenesis: ILP experiments in a non-determinate biological domain. In S. Wrobel, editor, Proceedings of the 4th International Workshop on Inductive Logic Programming, volume 237, pages 217-232, 1994.
-
(1994)
Proceedings of the 4th International Workshop on Inductive Logic Programming
, vol.237
, pp. 217-232
-
-
Srinivasan, A.1
Muggleton, S.2
King, R.D.3
Sternberg, M.J.E.4
-
27
-
-
33745963387
-
Kernel relevant component analysis for distance metric learning
-
Ivor W. Tsang, Pak-Ming Cheung, and James T. Kwok. Kernel relevant component analysis for distance metric learning. In IJCNN, 2005.
-
(2005)
IJCNN
-
-
Tsang, I.W.1
Cheung, P.-M.2
Kwok, J.T.3
-
29
-
-
56449127513
-
Fast solvers and efficient implementations for distance metric learning
-
Kilian Q. Weinberger and Lawrence K. Saul. Fast solvers and efficient implementations for distance metric learning. In ICML, 2008.
-
(2008)
ICML
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
31
-
-
62949092105
-
Distances and (indefinite) kernels for sets of objects
-
Hong Kong
-
Adam Woźnica, Alexandros Kalousis, and Melanie Hilario. Distances and (indefinite) kernels for sets of objects. In ICDM, Hong Kong, 2006.
-
(2006)
ICDM
-
-
Woźnica, A.1
Kalousis, A.2
Hilario, M.3
-
32
-
-
79951756948
-
Learning to combine distances for complex representations
-
Adam Woźnica, Alexandros Kalousis, and Melanie Hilario. Learning to combine distances for complex representations. In ICML, 2007.
-
(2007)
ICML
-
-
Woźnica, A.1
Kalousis, A.2
Hilario, M.3
-
33
-
-
79951747623
-
Adaptive matching based kernels for labeled graphs
-
Adam Woźnica, Alexandros Kalousis, and Melanie Hilario. Adaptive matching based kernels for labeled graphs. In PAKDD, 2010.
-
(2010)
PAKDD
-
-
Woźnica, A.1
Kalousis, A.2
Hilario, M.3
-
34
-
-
84879571292
-
Distance metric learning with application to clustering with side-information
-
MIT Press
-
Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, and Stuart Russell. Distance metric learning with application to clustering with side-information. In NIPS. MIT Press, 2003.
-
(2003)
NIPS
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
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