-
1
-
-
0003535936
-
-
John Wiley & Sons, Inc., Hoboken, NJ, second edition
-
A. Agresti. Categorical Data Analysis. John Wiley & Sons, Inc., Hoboken, NJ, second edition, 2002.
-
(2002)
Categorical Data Analysis
-
-
Agresti, A.1
-
3
-
-
0038589165
-
The anatomy of a large-scale hypertextual web search engine
-
S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. In WWW, pages 107-117, 1998.
-
(1998)
WWW
, pp. 107-117
-
-
Brin, S.1
Page, L.2
-
4
-
-
31844446958
-
Learning to rank using gradient descent
-
DOI 10.1145/1102351.1102363, ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning
-
C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. Learning to rank using gradient descent. In ICML, pages 89-96, 2005. (Pubitemid 43183320)
-
(2005)
ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning
, pp. 89-96
-
-
Burges, C.1
Shaked, T.2
Renshaw, E.3
Lazier, A.4
Deeds, M.5
Hamilton, N.6
Hullender, G.7
-
5
-
-
85157965754
-
Learning to rank with nonsmooth cost functions
-
C. Burges, R. Ragno, and Q. Le. Learning to rank with nonsmooth cost functions. In NIPS, pages 193-200, 2007.
-
(2007)
NIPS
, pp. 193-200
-
-
Burges, C.1
Ragno, R.2
Le, Q.3
-
7
-
-
4644367942
-
An efficient boosting algorithm for combining preferences
-
Y. Freund, R. Iyer, R. Schapire, and Y. Singer. An efficient boosting algorithm for combining preferences. Journal of Machine Learning Research, 4:933-969, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 933-969
-
-
Freund, Y.1
Iyer, R.2
Schapire, R.3
Singer, Y.4
-
8
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. The Annals of Statistics, 28(2):337-407, 2000. (Pubitemid 33227445)
-
(2000)
Annals of Statistics
, vol.28
, Issue.2
, pp. 337-407
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
9
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
J. Friedman. Greedy function approximation: A gradient boosting machine. The Annals of Statistics, 29(5):1189-1232, 2001. (Pubitemid 33405972)
-
(2001)
Annals of Statistics
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.H.1
-
10
-
-
0033645041
-
IR evaluation methods for retrieving highly relevant documents
-
K. Järvelin and J. Kekäläinen. IR evaluation methods for retrieving highly relevant documents. In SIGIR, pages 41-48, 2000.
-
(2000)
SIGIR
, pp. 41-48
-
-
Järvelin, K.1
Kekäläinen, J.2
-
11
-
-
0242456822
-
Optimizing search engines using clickthrough data
-
T. Joachims. Optimizing search engines using clickthrough data. In KDD, pages 133-142, 2002.
-
(2002)
KDD
, pp. 133-142
-
-
Joachims, T.1
-
12
-
-
0032256758
-
Authoritative sources in a hyperlinked environment
-
J. Kleinberg. Authoritative sources in a hyperlinked environment. In SODA, pages 668-677, 1998.
-
(1998)
SODA
, pp. 668-677
-
-
Kleinberg, J.1
-
13
-
-
36448961557
-
FRank: A ranking method with fidelity loss
-
DOI 10.1145/1277741.1277808, Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
-
M. Tsai, T. Liu, T. Qin, H. Chen, and W. Ma. Frank: a ranking method with fidelity loss. In SIGIR, pages 383-390, 2007. (Pubitemid 350164984)
-
(2007)
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
, pp. 383-390
-
-
Tsai, M.-F.1
Liu, T.-Y.2
Qin, T.3
Chen, H.-H.4
Ma, W.-Y.5
-
14
-
-
36448953520
-
A regression framework for learning ranking functions using relative relevance judgments
-
DOI 10.1145/1277741.1277792, Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
-
Z. Zheng, K. Chen, G. Sun, and H. Zha. A regression framework for learning ranking functions using relative relevance judgments. In SIGIR, pages 287-294, 2007. (Pubitemid 350167353)
-
(2007)
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
, pp. 287-294
-
-
Zheng, Z.1
Chen, K.2
Sun, G.3
Zha, H.4
|