-
1
-
-
9444298517
-
Classifi{ligature}cation approach towards ranking and sorting problems
-
Rajaram S., Garg A., Zhou Z.S., Huang T.S. Classifi{ligature}cation approach towards ranking and sorting problems. Lecture Notes in Artifi{ligature}cial Intelligence 2003, 2837:301-312.
-
(2003)
Lecture Notes in Artifi{ligature}cial Intelligence
, vol.2837
, pp. 301-312
-
-
Rajaram, S.1
Garg, A.2
Zhou, Z.S.3
Huang, T.S.4
-
2
-
-
56349133747
-
-
A neural network approach to ordinal regression, in: Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN'2008), 2008
-
J.L. Cheng, Z. Wang, G. Pollastri, A neural network approach to ordinal regression, in: Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN'2008), 2008, pp. 1279-1284.
-
-
-
Cheng, J.L.1
Wang, Z.2
Pollastri, G.3
-
3
-
-
1942515261
-
-
Pranking with ranking, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2001)
-
K. Crammer, Y. Singer, Pranking with ranking, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2001), vol. 14, 2001, pp. 641-647.
-
(2001)
, vol.14
, pp. 641-647
-
-
Crammer, K.1
Singer, Y.2
-
4
-
-
14344253490
-
-
Unifying collaborative and content-based fi{ligature}ltering, in: Proceedings of the 21st International Conference on Machine Learning (ICML'2004)
-
J. Basilico, T. Hofmann, Unifying collaborative and content-based fi{ligature}ltering, in: Proceedings of the 21st International Conference on Machine Learning (ICML'2004), 2004, pp. 65-72.
-
(2004)
, pp. 65-72
-
-
Basilico, J.1
Hofmann, T.2
-
6
-
-
31844446958
-
-
Learning to rank using gradient descent, in: Proceedings of International Conference on Machine Learning (ICML'2005)
-
C.J.C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, G. Hullender, Learning to rank using gradient descent, in: Proceedings of International Conference on Machine Learning (ICML'2005), 2005, pp. 89-97.
-
(2005)
, pp. 89-97
-
-
Burges, C.J.C.1
Shaked, T.2
Renshaw, E.3
Lazier, A.4
Deeds, M.5
Hamilton, N.6
Hullender, G.7
-
8
-
-
33846089978
-
-
Yu, Hiearachical bayesian modelling with gaussian processes, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2005),
-
A. Schwaighofer, V. Tresp, K. Yu, Hiearachical bayesian modelling with gaussian processes, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2005), vol. 17, 2005, pp. 1209-1216.
-
(2005)
, vol.17
, pp. 1209-1216
-
-
Schwaighofer, V.1
Tresp, K.2
-
9
-
-
24044435942
-
Reducing multiclass to binary: a unifying approach for margin classifi{ligature}ers
-
Allwein E.L., Schapire R.E., Singer Y. Reducing multiclass to binary: a unifying approach for margin classifi{ligature}ers. Journal of Machine Learning Research 2001, 1:113-141.
-
(2001)
Journal of Machine Learning Research
, vol.1
, pp. 113-141
-
-
Allwein, E.L.1
Schapire, R.E.2
Singer, Y.3
-
10
-
-
84899011021
-
-
Ranking with large margin principle: two approaches, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2003),
-
A. Shashua, A. Levin, Ranking with large margin principle: two approaches, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2003), vol. 15, 2003, pp. 937-944.
-
(2003)
, vol.15
, pp. 937-944
-
-
Shashua, A.1
Levin, A.2
-
11
-
-
33847626350
-
Support vector ordinal regression
-
Chu W., Keerthi S.S. Support vector ordinal regression. Neural Computation 2007, 19(3):792-815.
-
(2007)
Neural Computation
, vol.19
, Issue.3
, pp. 792-815
-
-
Chu, W.1
Keerthi, S.S.2
-
12
-
-
26944498632
-
-
Learnability of bipartite ranking functions, in: Proceedings of the 18th Annual Conference on Learning Theory (COLT'2005)
-
S. Agarwal, D. Roth, Learnability of bipartite ranking functions, in: Proceedings of the 18th Annual Conference on Learning Theory (COLT'2005), 2005, pp. 16-31.
-
(2005)
, pp. 16-31
-
-
Agarwal, S.1
Roth, D.2
-
13
-
-
4644367942
-
An efficient boosting algorithm for combining preferences
-
Freund Y., Iyer R., Schapire R.E., Singer Y. An efficient boosting algorithm for combining preferences. Journal of Machine Learning Research 2003, 4:933-969.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 933-969
-
-
Freund, Y.1
Iyer, R.2
Schapire, R.E.3
Singer, Y.4
-
14
-
-
14344256758
-
-
Log-linear models for label ranking, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2003),
-
O. Dekel, J. Keshet, Y. Singer, Log-linear models for label ranking, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2003), vol. 16, 2003, pp. 209-216.
-
(2003)
, vol.16
, pp. 209-216
-
-
Dekel, O.1
Keshet, J.2
Singer, Y.3
-
15
-
-
1942450175
-
-
Constraint classifi{ligature}cation: a new approach to multiclass classifi{ligature}cation and ranking, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2002)
-
S. Har-Peled, D. Roth, D. Zimak, Constraint classifi{ligature}cation: a new approach to multiclass classifi{ligature}cation and ranking, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2002), vol. 15, 2002, pp. 267-280.
-
(2002)
, vol.15
, pp. 267-280
-
-
Har-Peled, S.1
Roth, D.2
Zimak, D.3
-
16
-
-
0035401786
-
Prediction of ordinal classes using regression trees
-
Kramer S., Widmer G., Pfahringer B., DeGroeve M. Prediction of ordinal classes using regression trees. Fundamenta Informaticae 2001, 47:1-13.
-
(2001)
Fundamenta Informaticae
, vol.47
, pp. 1-13
-
-
Kramer, S.1
Widmer, G.2
Pfahringer, B.3
DeGroeve, M.4
-
17
-
-
31844432421
-
-
Augmenting naive bayes for ranking, in: Proceedings of the International Conference on Machine Learning (ICML'2005),
-
H. Zhang, L. Jiang, J. Su, Augmenting naive bayes for ranking, in: Proceedings of the International Conference on Machine Learning (ICML'2005), 2005, pp. 1020-1027.
-
(2005)
, pp. 1020-1027
-
-
Zhang, H.1
Jiang, L.2
Su, J.3
-
18
-
-
33646259490
-
-
Bayesian hierarchical ordinal regression, in: Proceedings of the International Conference on Artifi{ligature}cal Neural Networks (ICANN'2005),
-
U. Paquet, S. Holden, A. Naish-Guzman, Bayesian hierarchical ordinal regression, in: Proceedings of the International Conference on Artifi{ligature}cal Neural Networks (ICANN'2005), 2005, pp. 267-272.
-
(2005)
, pp. 267-272
-
-
Paquet, U.1
Holden, S.2
Naish-Guzman, A.3
-
19
-
-
84948166287
-
-
A simple approach to ordinal classifi{ligature}cation, in: Proceedings of the European Conference on Machine Learning (ECML'2001),
-
E. Frank, M. Hall, A simple approach to ordinal classifi{ligature}cation, in: Proceedings of the European Conference on Machine Learning (ECML'2001), 2001, pp. 145-156.
-
(2001)
, pp. 145-156
-
-
Frank, E.1
Hall, M.2
-
20
-
-
39649107920
-
-
Ordinal regression by extended binary classifi{ligature}cation, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2006),
-
L. Li, H. Lin, Ordinal regression by extended binary classifi{ligature}cation, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2006), vol. 20, 2006, pp. 865-872.
-
(2006)
, vol.20
, pp. 865-872
-
-
Li, L.1
Lin, H.2
-
21
-
-
84864039510
-
-
Learning to rank with nonsmooth cost functions, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2006),
-
C.J.C. Burges, R. Ragno, Q.V. Le, Learning to rank with nonsmooth cost functions, in: Proceedings of the Advances in Neural Information Processing Systems (NIPS'2006), vol. 20, 2006, pp. 193-200.
-
(2006)
, vol.20
, pp. 193-200
-
-
Burges, C.J.C.1
Ragno, R.2
Le, Q.V.3
-
22
-
-
0242456822
-
-
Optimizing search engines using clickthrough data, in: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2002),
-
T. Joachims, Optimizing search engines using clickthrough data, in: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2002), 2002, pp.133-142.
-
(2002)
, pp. 133-142
-
-
Joachims, T.1
-
23
-
-
33745903481
-
Extreme learning machine: theory and applications
-
Huang G.-B., Zhu Q.-Y., Siew C.-K. Extreme learning machine: theory and applications. Neurocomputing 2006, 70:489-501.
-
(2006)
Neurocomputing
, vol.70
, pp. 489-501
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
24
-
-
33646835788
-
Classifi{ligature}cation of mental tasks from EEG signals using extreme learning machine
-
Liang N.-Y., Saratchandran P., Huang G.-B., Sundararajan N. Classifi{ligature}cation of mental tasks from EEG signals using extreme learning machine. International Journal of Neural Systems 2006, 16(1):29-38.
-
(2006)
International Journal of Neural Systems
, vol.16
, Issue.1
, pp. 29-38
-
-
Liang, N.-Y.1
Saratchandran, P.2
Huang, G.-B.3
Sundararajan, N.4
-
25
-
-
56349171345
-
-
Extreme learning machine for multi-categories Classifi{ligature}cation applications, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN'2008),
-
H.-J. Rong, G.-B. Huang, Y.-S. Ong, Extreme learning machine for multi-categories Classifi{ligature}cation applications, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN'2008), 2008, pp. 1709-1713.
-
(2008)
, pp. 1709-1713
-
-
Rong, H.-J.1
Huang, G.-B.2
Ong, Y.-S.3
-
26
-
-
33745918399
-
Universal approximation using incremental constructive feedforward networks with random hidden nodes
-
Huang G.-B., Chen L., Siew C.-K. Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Transactions on Neural Networks 2006, 17(4):879-892.
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.4
, pp. 879-892
-
-
Huang, G.-B.1
Chen, L.2
Siew, C.-K.3
-
28
-
-
34047174077
-
A fast and accurate online sequential learning algorithm for feedforward networks
-
Liang N.-Y., Huang G.-B., Saratchandran P., Sundararajan N. A fast and accurate online sequential learning algorithm for feedforward networks. IEEE Transactions on Neural Network 2006, 17(6):1411-1423.
-
(2006)
IEEE Transactions on Neural Network
, vol.17
, Issue.6
, pp. 1411-1423
-
-
Liang, N.-Y.1
Huang, G.-B.2
Saratchandran, P.3
Sundararajan, N.4
-
29
-
-
36349016616
-
-
Kernel regression with order preferences, in: Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI'2007),
-
X.J. Zhu, A.B. Goldberg, Kernel regression with order preferences, in: Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI'2007), 2007, pp. 681-687.
-
(2007)
, pp. 681-687
-
-
Zhu, X.J.1
Goldberg, A.B.2
-
30
-
-
34548158996
-
Convex incremental extreme learning machine
-
Huang G.-B., Chen L. Convex incremental extreme learning machine. Neurocomputing 2007, 70(16-18):3056-3062.
-
(2007)
Neurocomputing
, vol.70
, Issue.16-18
, pp. 3056-3062
-
-
Huang, G.-B.1
Chen, L.2
-
31
-
-
77954299719
-
Ensemble of online sequential extreme learning machine
-
Lan Y., Soh Y.C., Huang G.-B. Ensemble of online sequential extreme learning machine. Neurocomputing 2009, 72(13-15):3391-3395.
-
(2009)
Neurocomputing
, vol.72
, Issue.13-15
, pp. 3391-3395
-
-
Lan, Y.1
Soh, Y.C.2
Huang, G.-B.3
-
32
-
-
56549090053
-
Enhanced random search based incremental extreme learning machine
-
Huang G.-B., Chen L. Enhanced random search based incremental extreme learning machine. Neurocomputing 2008, 71(16-18):3460-3468.
-
(2008)
Neurocomputing
, vol.71
, Issue.16-18
, pp. 3460-3468
-
-
Huang, G.-B.1
Chen, L.2
-
33
-
-
38649131505
-
Incremental extreme learning machine with fully complex hidden nodes
-
Huang G.-B., Li M.-B., Chen L., Siew C.-K. Incremental extreme learning machine with fully complex hidden nodes. Neurocomputing 2008, 71(4-6):576-583.
-
(2008)
Neurocomputing
, vol.71
, Issue.4-6
, pp. 576-583
-
-
Huang, G.-B.1
Li, M.-B.2
Chen, L.3
Siew, C.-K.4
-
36
-
-
0001224048
-
Sparse Bayesian learning and the relevance vector machine
-
Tipping Michael E. Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research 2001, 1:211-244.
-
(2001)
Journal of Machine Learning Research
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
|