-
1
-
-
0142081413
-
Multiple-instance learning of real-valued data
-
Morgan Kaufmann
-
Amar, R.A., Dooly, D.R., Goldman, S.A., Zhang, Q.: Multiple-instance learning of real-valued data. In: Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Morgan Kaufmann (2001) 3-10
-
(2001)
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001)
, pp. 3-10
-
-
Amar, R.A.1
Dooly, D.R.2
Goldman, S.A.3
Zhang, Q.4
-
2
-
-
85141266799
-
Support vector machines for multiple instance learning
-
Papers from Neural Information Processing Systems (NIPS 2002), MIT Press
-
Andrews, S., Tsochantaridis, I., Hofmann T.: Support vector machines for multiple instance learning. In: Advances in Neural Information Processing Systems 15. Papers from Neural Information Processing Systems (NIPS 2002), MIT Press (2002)
-
(2002)
Advances in Neural Information Processing Systems
, vol.15
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
4
-
-
0032302519
-
Approximating hyper-rectangles: Learning and pseudorandom sets
-
Auer, P., Long, P.M., Srinivasan, A.: Approximating hyper-rectangles: Learning and pseudorandom sets, J. Comput. Syst. Sci. 57(3): 376-388 (1998)
-
(1998)
J. Comput. Syst. Sci.
, vol.57
, Issue.3
, pp. 376-388
-
-
Auer, P.1
Long, P.M.2
Srinivasan, A.3
-
5
-
-
0003408496
-
-
Irvine, CA: University of California, Department of Information and Computer Science
-
Blake, C.L., Merz, C.J.: UCI repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science (1998)
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
-
6
-
-
0030649484
-
Solving the multiple instance problem with axis-parallel rectangles
-
Dietterich, T.G., Lathrop, R.H., Lozano-Pérez, T.: Solving the multiple instance problem with axis-parallel rectangles. In: 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
-
7
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: J. Comput. Syst. Sci. 55(1): 119-139 (1997)
-
(1997)
J. Comput. Syst. Sci.
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
8
-
-
0035251085
-
Agnostic learning of geometric patterns
-
Goldman, S.A., Kwek, S.K., Scott, S.D.: Agnostic learning of geometric patterns. In: J. Comput. Syst. Sci. 62(1): 123-151 (2001)
-
(2001)
J. Comput. Syst. Sci.
, vol.62
, Issue.1
, pp. 123-151
-
-
Goldman, S.A.1
Kwek, S.K.2
Scott, S.D.3
-
9
-
-
4444252785
-
Multi-instance kernels
-
Machine Learning, Morgan Kaufmann
-
Gärtner, T., Flach, P.A., Kowalczyk, A., Smola, A.J.: Multi-instance kernels. In: Machine Learning. Proceedings of the Nineteenth International Conference (ICML 2002), Morgan Kaufmann (2002) 179-186
-
(2002)
Proceedings of the Nineteenth International Conference (ICML 2002)
, pp. 179-186
-
-
Gärtner, T.1
Flach, P.A.2
Kowalczyk, A.3
Smola, A.J.4
-
10
-
-
10044264089
-
Object recognition using segmentation for feature detection
-
Accepted for
-
Fussenegger, M., Opelt, A., Pinz, A., Auer, P.: Object recognition using segmentation for feature detection. Accepted for ICPR 2004 (2004)
-
(2004)
ICPR 2004
-
-
Fussenegger, M.1
Opelt, A.2
Pinz, A.3
Auer, P.4
-
12
-
-
34250091945
-
Learning quickly when irrelevant attributes abound: A new linear threshold algorithm
-
Littlestone, N.: Learning quickly when irrelevant attributes abound: A new linear threshold algorithm. In: Machine Learning 2(4): 285-318 (1988)
-
(1988)
Machine Learning
, vol.2
, Issue.4
, pp. 285-318
-
-
Littlestone, N.1
-
13
-
-
0004082786
-
Learning from ambiguity
-
Maron, O.: Learning from ambiguity. Technical Report AITR-1639 (1998)
-
(1998)
Technical Report
, vol.AITR-1639
-
-
Maron, O.1
-
16
-
-
35048877938
-
Weak hypotheses and boosting for generic object detection and recognition
-
Computer Vision - ECCV 2004. 8th European Conference on Computer Vision. Proceedings, Part II, Springer
-
Opelt, A., Fussenegger, M., Pinz, A., Auer, P.: Weak hypotheses and boosting for generic object detection and recognition. In: Computer Vision - ECCV 2004. 8th European Conference on Computer Vision. Proceedings, Part II. Lecture Notes in Computer Science 3022, Springer (2004) 71-84
-
(2004)
Lecture Notes in Computer Science
, vol.3022
, pp. 71-84
-
-
Opelt, A.1
Fussenegger, M.2
Pinz, A.3
Auer, P.4
-
19
-
-
3343014537
-
On generalized multiple-instance learning
-
University of Nebraska
-
Scott, S.D., Zhang, J., Brown, J.: On generalized multiple-instance learning. Technical report UNL-CSE-2003-5, University of Nebraska (2003)
-
(2003)
Technical Report
, vol.UNL-CSE-2003-5
-
-
Scott, S.D.1
Zhang, J.2
Brown, J.3
-
21
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
Schapire, R.E., Freund, Y., Bartlett, P., Lee, W.S.: Boosting the margin: A new explanation for the effectiveness of voting methods. In: Ann. Statist. 25(5): 1651-1686 (1998)
-
(1998)
Ann. Statist.
, vol.25
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
22
-
-
0141596676
-
Solving the multiple-instance problem: A lazy learning approach
-
Morgan Kaufmann, San Francisco, CA
-
Wang, J., Zucker, J.D.: Solving the multiple-instance problem: A lazy learning approach. In: Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Morgan Kaufmann, San Francisco, CA (2000) 1119-1126
-
(2000)
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000)
, pp. 1119-1126
-
-
Wang, J.1
Zucker, J.D.2
-
23
-
-
14344259407
-
A study in modeling low-conservation protein superfamilies
-
University of Nebraska
-
Wang, C., Scott, S.D., Zhang, J., Tao, Q., Fomenko, D.E., Gladyshev, V.N.: A study in modeling low-conservation protein superfamilies. Technical report UNL-CSE-2004-0003, University of Nebraska (2004)
-
(2004)
Technical Report
, vol.UNL-CSE-2004-0003
-
-
Wang, C.1
Scott, S.D.2
Zhang, J.3
Tao, Q.4
Fomenko, D.E.5
Gladyshev, V.N.6
-
24
-
-
0012349465
-
EM-DD: An improved multiple-instance learning technique
-
(NIPS 2001), MIT Press
-
Zhang, Q., Goldman, S.: EM-DD: An improved multiple-instance learning technique. In: Advances in Neural Information Processing Systems 14 (NIPS 2001), MIT Press (2001) 1073-1080
-
(2001)
Advances in Neural Information Processing Systems
, vol.14
, pp. 1073-1080
-
-
Zhang, Q.1
Goldman, S.2
|