-
1
-
-
85141266799
-
Support vector machines for multiple-instance learning
-
Vancouver, MIT press
-
S. Andrews, I. Tsochantaridis, and T. Hofmann. Support vector machines for multiple-instance learning. In NIPS, pages 561-568, Vancouver, 2002. MIT press.
-
(2002)
NIPS
, pp. 561-568
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
2
-
-
34047229436
-
-
O. Arandjelović. and R. Cipolla. Face set classification using maximally probable mutual modes. In Proc. IAPR International Conference on Pattern Recognition, pages 511-514, August 2006.
-
O. Arandjelović. and R. Cipolla. Face set classification using maximally probable mutual modes. In Proc. IAPR International Conference on Pattern Recognition, pages 511-514, August 2006.
-
-
-
-
4
-
-
3042597440
-
Learning multi-label scene classification
-
M. R. Boutell, J. Luo, X. Shen, and C. M. Brown. Learning multi-label scene classification. Pattern Recognition, 37:1757-1771,2004.
-
(2004)
Pattern Recognition
, vol.37
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
5
-
-
0032090684
-
Enhanced hypertext categorization using hyperlinks
-
New York, NY, USA, ACM
-
S. Chakrabarti, B. Dom, and P. Indyk. Enhanced hypertext categorization using hyperlinks. In SIGMOD '98: Proceedings of the 1998 ACM SIGMOD international conference on Management of data, pages 307-318, New York, NY, USA, 1998. ACM.
-
(1998)
SIGMOD '98: Proceedings of the 1998 ACM SIGMOD international conference on Management of data
, pp. 307-318
-
-
Chakrabarti, S.1
Dom, B.2
Indyk, P.3
-
6
-
-
34248389557
-
-
O. Chapelle, B. Schölkopf, and A. Zien, editors, MIT Press, Cambridge, MA
-
O. Chapelle, B. Schölkopf, and A. Zien, editors. SemiSupervised Learning. MIT Press, Cambridge, MA, 2006.
-
(2006)
SemiSupervised Learning
-
-
-
7
-
-
24344484786
-
Frequent substructure-based approaches for classifying chemical compounds
-
M. Deshpande, M. Kuramochi, N. Wale, and G. Karypis. Frequent substructure-based approaches for classifying chemical compounds. IEEE Trans, on Knowl. and Data Eng., 17(8):1036-1050,2005.
-
(2005)
IEEE Trans, on Knowl. and Data Eng
, vol.17
, Issue.8
, pp. 1036-1050
-
-
Deshpande, M.1
Kuramochi, M.2
Wale, N.3
Karypis, G.4
-
8
-
-
0030649484
-
Solving the multiple instance problem with axis-parallel rectangles
-
T. G. Dietterich, R. H. Lathrop, and T. Lozano-Pérez. Solving the multiple instance problem with axis-parallel rectangles. Artif. Intell., 89(1-2):31-71, 1997.
-
(1997)
Artif. Intell
, vol.89
, Issue.1-2
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
Lozano-Pérez, T.3
-
10
-
-
84892209228
-
-
Springer-Verlag New York, Inc, Secaucus, NJ, USA
-
J. Euzenat and P. Shvaiko. Ontology Matching. Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2007.
-
(2007)
Ontology Matching
-
-
Euzenat, J.1
Shvaiko, P.2
-
11
-
-
33646023117
-
An introduction to roc analysis
-
T. Fawcett. An introduction to roc analysis. Pattern Recogn. Lett., 27(8):861-874, 2006.
-
(2006)
Pattern Recogn. Lett
, vol.27
, Issue.8
, pp. 861-874
-
-
Fawcett, T.1
-
12
-
-
4444252785
-
Multi-instance kernels
-
San Francisco, CA, USA, Morgan Kaufmann Publishers Inc
-
T. Gärtner, P. A. Flach, A. Kowalczyk, and A. J. Smola. Multi-instance kernels. In ICML '02: Proceedings of the Nineteenth International Conference on Machine Learning, pages 179-186, San Francisco, CA, USA, 2002. Morgan Kaufmann Publishers Inc.
-
(2002)
ICML '02: Proceedings of the Nineteenth International Conference on Machine Learning
, pp. 179-186
-
-
Gärtner, T.1
Flach, P.A.2
Kowalczyk, A.3
Smola, A.J.4
-
13
-
-
0001576029
-
Characterizing virtual eigensignatures for general purpose face recognition
-
D. B. Graham and N. M. Allinson. Characterizing virtual eigensignatures for general purpose face recognition. Face Recognition: From Theory to Applications, NATO ASI Series F, Computer and Systems Sciences, 163:446-456, 1998.
-
(1998)
Face Recognition: From Theory to Applications, NATO ASI Series F, Computer and Systems Sciences
, vol.163
, pp. 446-456
-
-
Graham, D.B.1
Allinson, N.M.2
-
14
-
-
0030381274
-
Reexamining the cluster hypothesis: Scatter/gather on retrieval results
-
New York, NY, USA, ACM
-
M. A. Hearst and J. O. Pedersen. Reexamining the cluster hypothesis: scatter/gather on retrieval results. In SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, pages 76-84, New York, NY, USA, 1996. ACM.
-
(1996)
SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
, pp. 76-84
-
-
Hearst, M.A.1
Pedersen, J.O.2
-
15
-
-
0034850512
-
-
B. Heisele, P. Ho, and T. Poggio. Face recognition with support vector machines: global versus component-based approach. In In Proc. 8th International Conference on Computer Vision, pages 688-694, 2001.
-
B. Heisele, P. Ho, and T. Poggio. Face recognition with support vector machines: global versus component-based approach. In In Proc. 8th International Conference on Computer Vision, pages 688-694, 2001.
-
-
-
-
16
-
-
33846518797
-
In silico target fishing: Predicting biological targets from chemical structure
-
J. L. Jenkins, A. Bender, and J. W. Davies. In silico target fishing: Predicting biological targets from chemical structure. Drug Discovery Today: Technologies, 3:413-421, 2006.
-
(2006)
Drug Discovery Today: Technologies
, vol.3
, pp. 413-421
-
-
Jenkins, J.L.1
Bender, A.2
Davies, J.W.3
-
17
-
-
12244297396
-
Why collective inference improves relational classification
-
New York, NY, USA, ACM
-
D. Jensen, J. Neville, and B. Gallagher. Why collective inference improves relational classification. In KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 593-598, New York, NY, USA, 2004. ACM.
-
(2004)
KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
, pp. 593-598
-
-
Jensen, D.1
Neville, J.2
Gallagher, B.3
-
19
-
-
84876811202
-
-
D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. Rcvl: A new benchmark collection for text categorization research. J. Mach. Learn. Res., 5:361-397, 2004.
-
D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. Rcvl: A new benchmark collection for text categorization research. J. Mach. Learn. Res., 5:361-397, 2004.
-
-
-
-
20
-
-
62449156564
-
Bindingdb: A web-accessible database of experimentally determined protein-ligand binding affinities
-
T. Liu, Y Lin, X. Wen, R. N. Jorissen, and M. K. Gilson. Bindingdb: a web-accessible database of experimentally determined protein-ligand binding affinities. Nucleic Acids Research 00(Database Issue), pages D1-D4, 2006.
-
(2006)
Nucleic Acids Research 00(Database Issue)
-
-
Liu, T.1
Lin, Y.2
Wen, X.3
Jorissen, R.N.4
Gilson, M.K.5
-
22
-
-
84898935332
-
A framework for multiple-instance learning
-
Cambridge, MA, USA, MIT Press
-
O. Maron and T. Lozano-Pérez. A framework for multiple-instance learning. In NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems 10, pages 570-576, Cambridge, MA, USA, 1998. MIT Press.
-
(1998)
NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems
, vol.10
, pp. 570-576
-
-
Maron, O.1
Lozano-Pérez, T.2
-
23
-
-
34250741340
-
High content screening as a screening tool in drug discovery
-
A. Nichols. High content screening as a screening tool in drug discovery. Methods in Molecular Biology, 356:379-387, 2007.
-
(2007)
Methods in Molecular Biology
, vol.356
, pp. 379-387
-
-
Nichols, A.1
-
25
-
-
0033861845
-
The multiplicity of serotonin receptors: Uselessly diverse molecules or an embarrasment of riches?
-
B. L. Roth, E. Lopez, S. Patel, and W. K. Kroeze. The multiplicity of serotonin receptors: Uselessly diverse molecules or an embarrasment of riches? The Neuroscientist, 6:252-262, 2000.
-
(2000)
The Neuroscientist
, vol.6
, pp. 252-262
-
-
Roth, B.L.1
Lopez, E.2
Patel, S.3
Kroeze, W.K.4
-
26
-
-
84949964641
-
Face recognition from long-term observations
-
London, UK, Springer-Verlag
-
G. Shakhnarovich, I. John W. Fisher, and T. Darrell. Face recognition from long-term observations. In ECCV '02: Proceedings of the 7th European Conference on Computer Vision-Part III, pages 851-868, London, UK, 2002. Springer-Verlag.
-
(2002)
ECCV '02: Proceedings of the 7th European Conference on Computer Vision-Part III
, pp. 851-868
-
-
Shakhnarovich, G.1
John, I.2
Fisher, W.3
Darrell, T.4
-
27
-
-
34547172608
-
-
C. G. M. Snoek, M. Worring, J. C. van Gemert, J.-M. Geusebroek, and A. W. M. Smeulders. The challenge problem for automated detection of 101 semantic concepts in multimedia. In MULTIMEDIA '06: Proceedings of the 14th annual ACM international conference on Multimedia, pages 421-430, New York, NY, USA, 2006. ACM.
-
C. G. M. Snoek, M. Worring, J. C. van Gemert, J.-M. Geusebroek, and A. W. M. Smeulders. The challenge problem for automated detection of 101 semantic concepts in multimedia. In MULTIMEDIA '06: Proceedings of the 14th annual ACM international conference on Multimedia, pages 421-430, New York, NY, USA, 2006. ACM.
-
-
-
-
28
-
-
1942418618
-
Discriminative probabilistic models fro relational data
-
Edmonton, Canada, Morgan Kaufmann
-
B. Taskar, P. Abbeel, and D. Koller. Discriminative probabilistic models fro relational data. In Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence, pages 485-192, Edmonton, Canada, 2002. Morgan Kaufmann.
-
(2002)
Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence
, pp. 485-192
-
-
Taskar, B.1
Abbeel, P.2
Koller, D.3
-
30
-
-
41149084603
-
Comparison of descriptor spaces for chemical compound retrieval and classification
-
N. Wale, I. A. Watson, and G. Karypis. Comparison of descriptor spaces for chemical compound retrieval and classification. Knowledge and Information Systems, 14(3):347-375, 2008.
-
(2008)
Knowledge and Information Systems
, vol.14
, Issue.3
, pp. 347-375
-
-
Wale, N.1
Watson, I.A.2
Karypis, G.3
-
33
-
-
33644876210
-
-
D. S. Wishart, C. Knox, A. C. Guo, S. Shrivastava, M. Hassanali, P. Stothard, Z. Chang, and J. Woolsey. DrugBank: a comprehensive resource for in silico drug discovery and exploration. Nucl. Acids Res., 34(suppll):D668-672, 2006.
-
D. S. Wishart, C. Knox, A. C. Guo, S. Shrivastava, M. Hassanali, P. Stothard, Z. Chang, and J. Woolsey. DrugBank: a comprehensive resource for in silico drug discovery and exploration. Nucl. Acids Res., 34(suppll):D668-672, 2006.
-
-
-
-
34
-
-
37249026328
-
Integrating high-content screening and ligand-target prediction to identify mechanism of action
-
D. W. Young, A. Bender, J. Hoyt, E. McWhinnie, G.-W Chirn, C. Y Tao, J. A. Tallarico, M. Labowl, J. L. Jenkins, T. J. Mitchison, and Y Feng. Integrating high-content screening and ligand-target prediction to identify mechanism of action. Nature Chemical Biology, 4:59-68, 2008.
-
(2008)
Nature Chemical Biology
, vol.4
, pp. 59-68
-
-
Young, D.W.1
Bender, A.2
Hoyt, J.3
McWhinnie, E.4
Chirn, G.-W.5
Tao, C.Y.6
Tallarico, J.A.7
Labowl, M.8
Jenkins, J.L.9
Mitchison, T.J.10
Feng, Y.11
-
35
-
-
84864028262
-
Multi-instance multi-label learning with application to scene classification
-
Z.-H. Zhou and M.-L. Zhang. Multi-instance multi-label learning with application to scene classification. Advances in Neural Information Processing Systems, 19:1609-1616, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 1609-1616
-
-
Zhou, Z.-H.1
Zhang, M.-L.2
-
36
-
-
33947396751
-
Solving multi-instance problems with classifier ensemble based on constructive clustering
-
Z.-H. Zhou and M.-L. Zhang. Solving multi-instance problems with classifier ensemble based on constructive clustering. Knowl. Inf. Syst., 11(2): 155-170, 2007.
-
(2007)
Knowl. Inf. Syst
, vol.11
, Issue.2
, pp. 155-170
-
-
Zhou, Z.-H.1
Zhang, M.-L.2
|