-
1
-
-
1542367492
-
Convexity, classification, and risk bounds
-
University of California, Berkeley
-
P. L. Bartlett, M. I. Jordan and J. D. McAuliffe. 2003. Convexity, classification, and risk bounds. Technical Report 638, Statistics Department, University of California, Berkeley.
-
(2003)
Technical Report 638, Statistics Department
-
-
Bartlett, P.L.1
Jordan, M.I.2
McAuliffe, J.D.3
-
2
-
-
31844446958
-
Learning to rank using gradient descent
-
C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. 2005. Learning to Rank Using Gradient Descent. In Proceedings of the 22th International Conference on Machine Learning (ICML 2005).
-
(2005)
Proceedings of the 22th International Conference on Machine Learning (ICML 2005)
-
-
Burges, C.1
Shaked, T.2
Renshaw, E.3
Lazier, A.4
Deeds, M.5
Hamilton, N.6
Hullender, G.7
-
3
-
-
34547987951
-
Learning to rank: From pairwise approach to listwise approach
-
Z. Cao, T. Qin, T.-Y. Liu, M.-F. Tsai and H. Li. 2007. Learning to rank: from pairwise approach to listwise approach In Proceedings of the 24th International Conference on Machine Learning (ICML 2007), pages 129-136.
-
(2007)
Proceedings of the 24th International Conference on Machine Learning (ICML 2007)
, pp. 129-136
-
-
Cao, Z.1
Qin, T.2
Liu, T.-Y.3
Tsai, M.-F.4
Li, H.5
-
4
-
-
84859885240
-
Coarseto-fine-grained n-best parsing and discriminative reranking
-
E. Charniak and M. Johnson. 2005. Coarseto-fine-grained n-best parsing and discriminative reranking. In ACL-05, pages 173-180.
-
(2005)
ACL-05
, pp. 173-180
-
-
Charniak, E.1
Johnson, M.2
-
5
-
-
84863035221
-
Ranking measures and loss functions in learning to rank
-
W. Chen, T.-Y. Liu, Y. Lan, Z. Ma, and H. Li. 2009. Ranking measures and loss functions in learning to rank. In Advances in Neural Information Processing Systems 22 (NIPS 2009), pages 315-323.
-
(2009)
Advances in Neural Information Processing Systems 22 (NIPS 2009)
, pp. 315-323
-
-
Chen, W.1
Liu, T.-Y.2
Lan, Y.3
Ma, Z.4
Li, H.5
-
6
-
-
80053253896
-
CUN-YBLENDER TAC-KBP2010 entity linking and slot filling system description
-
Z. Chen, S. Tamang, A. Lee, X. Li, W.-P. Lin, M. Snover, J. Artiles, M. Passantino and H. Ji. 2010. CUN-YBLENDER TAC-KBP2010 Entity Linking and Slot Filling System Description. In Proceedings of Text Analytics Conference (TAC2010).
-
(2010)
Proceedings of Text Analytics Conference (TAC2010)
-
-
Chen, Z.1
Tamang, S.2
Lee, A.3
Li, X.4
Lin, W.-P.5
Snover, M.6
Artiles, J.7
Passantino, M.8
Ji, H.9
-
10
-
-
4644367942
-
An efficient boosting algorithm for combining preferences
-
Y. Freund, R. Iyer, R. Schapire, and Y. Singer. 2003. An efficient boosting algorithm for combining preferences. In Journal of Machine Learning Research, 4:933-969.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 933-969
-
-
Freund, Y.1
Iyer, R.2
Schapire, R.3
Singer, Y.4
-
12
-
-
84859887879
-
Forest reranking: Discriminative parsing with non-local features
-
L. Huang. 2008. Forest Reranking: Discriminative Parsing with Non-Local Features. In ACL-HLT-08, pages 586-594.
-
(2008)
ACL-HLT-08
, pp. 586-594
-
-
Huang, L.1
-
14
-
-
0002714543
-
Making large-scale SVM learning practical
-
B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999
-
T. Joachims. 1999. Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999.
-
(1999)
Advances in Kernel Methods - Support Vector Learning
-
-
Joachims, T.1
-
17
-
-
56449103193
-
Query-level stability and generalization in learning to rank
-
Y. Lan, T.-Y. Liu, T. Qin, Z. Ma, and H. Li. 2008. Query-level stability and generalization in learning to rank. In Proceedings of the 25th International Conference on Machine Learning (ICML 2008), pages 512-519.
-
(2008)
Proceedings of the 25th International Conference on Machine Learning (ICML 2008)
, pp. 512-519
-
-
Lan, Y.1
Liu, T.-Y.2
Qin, T.3
Ma, Z.4
Li, H.5
-
18
-
-
57649092193
-
Mcrank: Learning to rank using multiple classification and gradient boosting
-
(NIPS2007)
-
P. Li, C. Burges, and Q. Wu. 2007. Mcrank: Learning to rank using multiple classification and gradient boosting In Advances in Neural Information Processing Systems 20 (NIPS2007).
-
(2007)
Advances in Neural Information Processing Systems
, vol.20
-
-
Li, P.1
Burges, C.2
Wu, Q.3
-
19
-
-
0036258405
-
Support vector machines and the bayes rule in classification
-
Y. Lin. 2002. Support vector machines and the bayes rule in classification. In Data Mining and Knowledge Discovery, pages 259-275.
-
(2002)
Data Mining and Knowledge Discovery
, pp. 259-275
-
-
Lin, Y.1
-
21
-
-
77957871106
-
Overview of the TAC 2009 knowledge base population track
-
P. McNamee and H. Dang. 2009. Overview of the TAC 2009 Knowledge Base Population Track. In Proceedings of TAC.
-
(2009)
Proceedings of TAC
-
-
McNamee, P.1
Dang, H.2
-
22
-
-
8644231803
-
Discriminative models for information retrieval
-
R. Nallapati. 2004. Discriminative models for information retrieval. In SIGIR.
-
(2004)
SIGIR
-
-
Nallapati, R.1
-
25
-
-
56449126113
-
Query-level loss functions for information retrieval
-
T. Qin, X.-D. Zhang, M.-F. Tsai, D.-S. Wang, T.-Y. Liu and H. Li. 2007. Query-level loss functions for information retrieval. In Information Processing and Management.
-
(2007)
Information Processing and Management
-
-
Qin, T.1
Zhang, X.-D.2
Tsai, M.-F.3
Wang, D.-S.4
Liu, T.-Y.5
Li, H.6
-
26
-
-
84863379285
-
Global ranking using continuous conditional random fields
-
(NIPS 2008)
-
T. Qin, T.-Y. Liu, X.-D. Zhang, D.-S. Wang, and H. Li. 2008. Global Ranking Using Continuous Conditional Random Fields. In Advances in Neural Information Processing Systems 21 (NIPS 2008).
-
(2008)
Advances in Neural Information Processing Systems
, vol.21
-
-
Qin, T.1
Liu, T.-Y.2
Zhang, X.-D.3
Wang, D.-S.4
Li, H.5
-
29
-
-
75149176174
-
Ensemble-based classifiers
-
DOI 10.1007/s10462-009-9124-7
-
L. Rokach. 2009. Ensemble-based classifiers. Artif Intell Rev DOI 10.1007/s10462-009-9124-7.
-
(2009)
Artif Intell Rev
-
-
Rokach, L.1
-
31
-
-
0034244751
-
Normalized cuts and image segmentation
-
J. Shi and J. Malik. 2000. Normalized Cuts and Image Segmentation. In Machine Intelligence, vol. 22, no. 8, pages 888-905.
-
(2000)
Machine Intelligence
, vol.22
, Issue.8
, pp. 888-905
-
-
Shi, J.1
Malik, J.2
-
33
-
-
50849090285
-
A twin-candidate model for learning-based anaphora resolution
-
X. Yang and J. Su and C.L. Tan 2008. A Twin-Candidate Model for Learning-based Anaphora Resolution. In Computational Linguistics, vol. 34, no. 3, pages 327-356.
-
(2008)
Computational Linguistics
, vol.34
, Issue.3
, pp. 327-356
-
-
Yang, X.1
Su, J.2
Tan, C.L.3
-
35
-
-
26944483874
-
Statistical analysis of some multicategory large margin classification methods
-
T. Zhang. 2004. Statistical analysis of some multicategory large margin classification methods. In Journal of Machine Learning Research, 5, 1225-1251.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 1225-1251
-
-
Zhang, T.1
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