-
1
-
-
34547994742
-
-
Amar, R. A., Dooly, D. R., Goldman, S. A., & Zhang, Q. (2001). Multiple-instance learning of real-valued data. ICML'01 (pp. 3-10). Williamston, MA.
-
Amar, R. A., Dooly, D. R., Goldman, S. A., & Zhang, Q. (2001). Multiple-instance learning of real-valued data. ICML'01 (pp. 3-10). Williamston, MA.
-
-
-
-
2
-
-
84898946229
-
Support vector machines for multiple-instance learning
-
Cambridge, MA: MIT Press
-
Andrews, S., Tsochantaridis, I., & Hofmann, T. (2003). Support vector machines for multiple-instance learning. In NIPS 15, 561-568. Cambridge, MA: MIT Press.
-
(2003)
NIPS 15
, pp. 561-568
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
3
-
-
0002469253
-
On learning from multi-instance examples: Empirical evaluation of a theoretical approach
-
Nashville, TN
-
Auer, P. (1997). On learning from multi-instance examples: Empirical evaluation of a theoretical approach. ICML'97 (pp. 21-29). Nashville, TN.
-
(1997)
ICML'97
, pp. 21-29
-
-
Auer, P.1
-
4
-
-
9444289383
-
Regularization and semi-supervised learning on large graphs
-
Banff, Canada
-
Belkin, M., Matveeva, I., & Niyogi, P. (2001). Regularization and semi-supervised learning on large graphs. COLT'01 (pp. 624-638). Banff, Canada.
-
(2001)
COLT'01
, pp. 624-638
-
-
Belkin, M.1
Matveeva, I.2
Niyogi, P.3
-
5
-
-
84898958346
-
Semi-supervised support vector machines
-
Cambridge, MA: MIT Press
-
Bennett, K. P., & Demiriz, A. (1999). Semi-supervised support vector machines. In NIPS 11, 368-374. Cambridge, MA: MIT Press.
-
(1999)
NIPS 11
, pp. 368-374
-
-
Bennett, K.P.1
Demiriz, A.2
-
7
-
-
0031620208
-
Combining labeled and unlabeled data with co-training
-
Madison, WI
-
Blum, A., & Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. COLT'98 (pp. 92-100). Madison, WI.
-
(1998)
COLT'98
, pp. 92-100
-
-
Blum, A.1
Mitchell, T.2
-
8
-
-
33749252873
-
-
Chapelle, O, Schölkopf, B, & Zien, A, Eds, Cambridge, MA: MIT Press
-
Chapelle, O., Schölkopf, B., & Zien, A. (Eds.). (2006). Semi-supervised learning. Cambridge, MA: MIT Press.
-
(2006)
Semi-supervised learning
-
-
-
9
-
-
84864069202
-
Branch and bound for semi-supervised support vector machines
-
Cambridge, MA: MIT Press
-
Chapelle, O., Sindhwani, V., & Keerthi, S. S. (2007). Branch and bound for semi-supervised support vector machines. In NIPS 19. Cambridge, MA: MIT Press.
-
(2007)
NIPS 19
-
-
Chapelle, O.1
Sindhwani, V.2
Keerthi, S.S.3
-
10
-
-
33947180489
-
MILES: Multiple-instance learning via embedded instance selection
-
Chen, Y., Bi, J., & Wang, J. Z. (2006). MILES: Multiple-instance learning via embedded instance selection. IEEE Trans. Pattern Analysis and Machine Intelligence, 28, 1931-1947.
-
(2006)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.28
, pp. 1931-1947
-
-
Chen, Y.1
Bi, J.2
Wang, J.Z.3
-
11
-
-
84863161940
-
Image categorization by learning and reasoning with regions
-
Chen, Y., & Wang, J. Z. (2004). Image categorization by learning and reasoning with regions. Journal of Machine Learning Research, 5, 913-939.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 913-939
-
-
Chen, Y.1
Wang, J.Z.2
-
12
-
-
33749243963
-
A regularization framework for multiple-instance learning
-
Pittsburgh, PA
-
Cheung, P.-M., &: Kwok, J. T. (2006). A regularization framework for multiple-instance learning. ICML '06 (pp. 193-200). Pittsburgh, PA.
-
(2006)
ICML '06
, pp. 193-200
-
-
Cheung, P.-M.1
Kwok, J.T.2
-
13
-
-
84948152022
-
A framework for learning rules from multiple instance data
-
Freiburg, Germany
-
Chevaleyre, Y., & Zucker, J.-D. (2001). A framework for learning rules from multiple instance data. ECML'01 (pp. 49-60). Freiburg, Germany.
-
(2001)
ECML'01
, pp. 49-60
-
-
Chevaleyre, Y.1
Zucker, J.-D.2
-
14
-
-
33747105621
-
Trading convexity for scalability
-
Pittsburgh, PA
-
Collobert, R., Sinz, F., Weston, J., & Bottou, L. (2006). Trading convexity for scalability. ICML'06 (pp. 201-208). Pittsburgh, PA.
-
(2006)
ICML'06
, pp. 201-208
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
Bottou, L.4
-
15
-
-
24644524200
-
Visual categorization with bags of keypoints
-
Prague, Czech
-
Csurka, G., Bray, C., Dance, C., & Fan, L. (2004). Visual categorization with bags of keypoints. ECCV'04 Workshop on Statistical Learning in Computer Vision (pp. 59-74). Prague, Czech.
-
(2004)
ECCV'04 Workshop on Statistical Learning in Computer Vision
, pp. 59-74
-
-
Csurka, G.1
Bray, C.2
Dance, C.3
Fan, L.4
-
16
-
-
0030649484
-
Solving the multiple-instance problem with axis-parallel rectangles
-
Dietterieh, T. G., Lathrop, R. H., & Lozano-Pérez, T. (1997). Solving the multiple-instance problem with axis-parallel rectangles. Artificial Intelligence, 89, 31-71.
-
(1997)
Artificial Intelligence
, vol.89
, pp. 31-71
-
-
Dietterieh, T.G.1
Lathrop, R.H.2
Lozano-Pérez, T.3
-
17
-
-
0003731935
-
Semi-supervised support vector machines for unlabeled data classification
-
99-05, Data Mining Institute, University of Wisconsin at Madison, Madison, WI
-
Fung, G., & Mangasarian, O. (1999). Semi-supervised support vector machines for unlabeled data classification (Technical Report 99-05). Data Mining Institute, University of Wisconsin at Madison, Madison, WI.
-
(1999)
Technical Report
-
-
Fung, G.1
Mangasarian, O.2
-
18
-
-
0007950880
-
Enhancing supervised learning with unlabeled data
-
San Francisco, CA
-
Goldman, S., & Zhou, Y. (2000). Enhancing supervised learning with unlabeled data. ICML'00 (pp. 327-334). San Francisco, CA.
-
(2000)
ICML'00
, pp. 327-334
-
-
Goldman, S.1
Zhou, Y.2
-
19
-
-
1942483137
-
Transductive inference for text classification using support vector machines
-
Bled, Slovenia
-
Joachims, T. (1999). Transductive inference for text classification using support vector machines. ICML'99 (pp. 200-209). Bled, Slovenia.
-
(1999)
ICML'99
, pp. 200-209
-
-
Joachims, T.1
-
20
-
-
84898935332
-
A framework for multiple-instance learning
-
Cambridge, MA: MIT Press
-
Maron, O., & Lozano-Pérez, T. (1998). A framework for multiple-instance learning. In NIPS 10, 570-576. Cambridge, MA: MIT Press.
-
(1998)
NIPS 10
, pp. 570-576
-
-
Maron, O.1
Lozano-Pérez, T.2
-
21
-
-
0002288190
-
Multiple-instance learning for natural scene classification
-
Madison, MI
-
Maron, O., & Ratan, A. L. (1998). Multiple-instance learning for natural scene classification. ICML'98 (pp. 341-349). Madison, MI.
-
(1998)
ICML'98
, pp. 341-349
-
-
Maron, O.1
Ratan, A.L.2
-
22
-
-
84898980291
-
A mixture of experts classifier with learning based on both labelled and unlabeled data
-
Cambridge, MA: MIT Press
-
Miller, D. J., & Uyar, H. S. (1997). A mixture of experts classifier with learning based on both labelled and unlabeled data. In NIPS 9, 571-577. Cambridge, MA: MIT Press.
-
(1997)
NIPS 9
, pp. 571-577
-
-
Miller, D.J.1
Uyar, H.S.2
-
23
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
Nigam, K., McCallum, A. K., Thrun, S., & Mitchell, T. (2000). Text classification from labeled and unlabeled documents using EM. Machine Learning, 39, 103-134.
-
(2000)
Machine Learning
, vol.39
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.K.2
Thrun, S.3
Mitchell, T.4
-
24
-
-
33749263718
-
MISSL: Multiple-instance semi-supervised learning
-
Pittsburgh, PA
-
Rahmani, R., & Goldman, S. A. (2006). MISSL: Multiple-instance semi-supervised learning. ICML'06 (pp. 705-712). Pittsburgh, PA.
-
(2006)
ICML'06
, pp. 705-712
-
-
Rahmani, R.1
Goldman, S.A.2
-
25
-
-
31844448950
-
Supervised versus multiple instance learning: An empirical comparison
-
Bonn, Germany
-
Ray, S., & Craven, M. (2005). Supervised versus multiple instance learning: An empirical comparison. ICML'05 (pp. 697-704). Bonn, Germany.
-
(2005)
ICML'05
, pp. 697-704
-
-
Ray, S.1
Craven, M.2
-
26
-
-
34547969157
-
-
Ray, S., & Page, D. (2001). Multiple instance regression. 'ICML'01 (pp. 425-432). Williamstown, MA.
-
Ray, S., & Page, D. (2001). Multiple instance regression. 'ICML'01 (pp. 425-432). Williamstown, MA.
-
-
-
-
27
-
-
0141485059
-
-
Doctoral dissertation, Department of Computer Science, University of Turin, Torino, Italy
-
Ruffo, G. (2000). Learning single and multiple instance decision trees for computer security applications. Doctoral dissertation, Department of Computer Science, University of Turin, Torino, Italy.
-
(2000)
Learning single and multiple instance decision trees for computer security applications
-
-
Ruffo, G.1
-
28
-
-
0004094721
-
-
Schölkopf, B, & Smola, A. J, Eds, Cambridge, MA: MIT Press
-
Schölkopf, B., & Smola, A. J. (Eds.). (2002). Learning with kernels. Cambridge, MA: MIT Press.
-
(2002)
Learning with kernels
-
-
-
29
-
-
3343014537
-
On generalized multiple-instance learning
-
UNL-CSE-2003-5, Department of Computer Science, University of Nebraska, Lincoln, NE
-
Scott, S. D., Zhang, J., & Brown, J. (2003). On generalized multiple-instance learning (Technical Report UNL-CSE-2003-5). Department of Computer Science, University of Nebraska, Lincoln, NE.
-
(2003)
Technical Report
-
-
Scott, S.D.1
Zhang, J.2
Brown, J.3
-
30
-
-
84862623799
-
Kernel methods for missing variables
-
Savannah Hotel, Barbados
-
Smola, A. J., Vishwanathan, S. V. N., & Hofmann, T. (2005). Kernel methods for missing variables. AIS-TATS'05. Savannah Hotel, Barbados.
-
(2005)
AIS-TATS'05
-
-
Smola, A.J.1
Vishwanathan, S.V.N.2
Hofmann, T.3
-
31
-
-
84864049528
-
Multiple instance boosting for object detection
-
Cambridge, MA: MIT Press
-
Viola, P., Platt, J., & Zhang, C. (2006). Multiple instance boosting for object detection. In NIPS 18, 1419-1426. Cambridge, MA: MIT Press.
-
(2006)
NIPS 18
, pp. 1419-1426
-
-
Viola, P.1
Platt, J.2
Zhang, C.3
-
32
-
-
0141596676
-
Solving the multi-instance problem: A lazy learning approach
-
San Francisco, CA
-
Wang, J., & Zucker, J.-D. (2000). Solving the multi-instance problem: A lazy learning approach. ICML'00 (pp. 1119-1125). San Francisco, CA.
-
(2000)
ICML'00
, pp. 1119-1125
-
-
Wang, J.1
Zucker, J.-D.2
-
33
-
-
9444267142
-
A two-level learning method for generalized multi-instance problem
-
Cavtat-Dubrovnik, Croatia
-
Weidmann, N., Frank, E., & Pfahringer, B. (2003). A two-level learning method for generalized multi-instance problem. ECML'03 (pp. 468-479). Cavtat-Dubrovnik, Croatia.
-
(2003)
ECML'03
, pp. 468-479
-
-
Weidmann, N.1
Frank, E.2
Pfahringer, B.3
-
34
-
-
29344456217
-
Unsupervised and semi-supervised multi-class support vector machines
-
Pittsburgh, PA
-
Xu, L., & Schuurmans, D. (2005). Unsupervised and semi-supervised multi-class support vector machines. AAAI'05 (pp. 904-910). Pittsburgh, PA.
-
(2005)
AAAI'05
, pp. 904-910
-
-
Xu, L.1
Schuurmans, D.2
-
35
-
-
7444219637
-
Logistic regression and boosting for labeled bags of instances
-
Sydney, Australia
-
Xu, X., & Frank, E. (2004). Logistic regression and boosting for labeled bags of instances. PAKDD '04 (pp. 272-281). Sydney, Australia.
-
(2004)
PAKDD '04
, pp. 272-281
-
-
Xu, X.1
Frank, E.2
-
36
-
-
84898999828
-
EM-DD: An improved multi-instance learning technique
-
Cambridge, MA: MIT Press
-
Zhang, Q., & Goldman, S. A. (2002). EM-DD: An improved multi-instance learning technique. In NIPS 14, 1073-1080. Cambridge, MA: MIT Press.
-
(2002)
NIPS 14
, pp. 1073-1080
-
-
Zhang, Q.1
Goldman, S.A.2
-
37
-
-
84898958201
-
Semi-supervised learning on directed graphs
-
Cambridge, MA: MIT Press
-
Zhou, D., Schölkopf, B., & Hofmann, T. (2005a). Semi-supervised learning on directed graphs. In NIPS 17, 1633-1640. Cambridge, MA: MIT Press.
-
(2005)
NIPS 17
, pp. 1633-1640
-
-
Zhou, D.1
Schölkopf, B.2
Hofmann, T.3
-
38
-
-
15544389390
-
Multi-instance learning based web mining
-
Zhou, Z.-H., Jiang, K., & Li, M. (2005b). Multi-instance learning based web mining. Applied Intelligence, 22, 135-147.
-
(2005)
Applied Intelligence
, vol.22
, pp. 135-147
-
-
Zhou, Z.-H.1
Jiang, K.2
Li, M.3
-
39
-
-
84880742718
-
Semi-supervised learning with co-training
-
Edinburgh, Scotland
-
Zhou, Z.-H., & Li, M. (2005). Semi-supervised learning with co-training. IJCAI'05 (pp. 908-913). Edinburgh, Scotland.
-
(2005)
IJCAI'05
, pp. 908-913
-
-
Zhou, Z.-H.1
Li, M.2
-
40
-
-
1642273823
-
Ensembles of multi-instance learners
-
Cavtat-Dubrovnik, Croatia
-
Zhou, Z.-H., & Zhang, M.-L. (2003). Ensembles of multi-instance learners. ECML'03 (pp. 492-502). Cavtat-Dubrovnik, Croatia.
-
(2003)
ECML'03
, pp. 492-502
-
-
Zhou, Z.-H.1
Zhang, M.-L.2
-
41
-
-
33745456231
-
Semi-supervised learning literature survey
-
1530, Department of Computer Sciences, University of Wisconsin at Madison
-
Zhu, X. (2006). Semi-supervised learning literature survey (Technical Report 1530). Department of Computer Sciences, University of Wisconsin at Madison.
-
(2006)
Technical Report
-
-
Zhu, X.1
-
42
-
-
1942484430
-
Semisupervised learning using Gaussian fields and harmonic functions
-
Washington, DC
-
Zhu, X., Ghahramani, Z., & Lafferty, J. (2003). Semisupervised learning using Gaussian fields and harmonic functions. ICML'03 (pp. 912-919). Washington, DC.
-
(2003)
ICML'03
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
|