-
1
-
-
77957960534
-
Unbiased s-d threshold optimization, initial query degradation, decay, and incrementality, for adaptive document filtering
-
NIST
-
A. Arampatzis. Unbiased s-d threshold optimization, initial query degradation, decay, and incrementality, for adaptive document filtering. In Proceedings TREC 2001. NIST, 2002.
-
(2002)
Proceedings TREC 2001
-
-
Arampatzis, A.1
-
3
-
-
0034795911
-
The score-distributional threshold optimization for adaptive binary classification tasks
-
A. Arampatzis and A. van Hameren. The score-distributional threshold optimization for adaptive binary classification tasks. In Proceedings SIGIR'01, pages 285-293, 2001.
-
(2001)
Proceedings SIGIR'01
, pp. 285-293
-
-
Arampatzis, A.1
van Hameren, A.2
-
4
-
-
11144246752
-
Incrementality, half-life, and threshold optimization for adaptive document filtering
-
NIST
-
A. Arampatzis, J. Beney, C. H. A. Koster, and T. P. van der Weide. Incrementality, half-life, and threshold optimization for adaptive document filtering. In Proceedings TREC 2000. NIST, 2001.
-
(2001)
Proceedings TREC 2000
-
-
Arampatzis, A.1
Beney, J.2
Koster, C.H.A.3
van der Weide, T.P.4
-
5
-
-
85011149542
-
A probabilitstic solution to the selection and fusion problem in distributed information retrieval
-
C. Baumgarten. A probabilitstic solution to the selection and fusion problem in distributed information retrieval. In Proceedings SIGIR '99, pages 246-253, 1999.
-
(1999)
Proceedings SIGIR '99
, pp. 246-253
-
-
Baumgarten, C.1
-
6
-
-
0003236593
-
When the most "pertinent" document should not be retrieved - an analysis of the Swets model
-
A. Bookstein. When the most "pertinent" document should not be retrieved - an analysis of the Swets model. Information Processing and Management, 13(6):377-383, 1977.
-
(1977)
Information Processing and Management
, vol.13
, Issue.6
, pp. 377-383
-
-
Bookstein, A.1
-
7
-
-
19944386692
-
Information filtering, novelty detection, and named-page finding
-
NIST
-
K. Collins-Thompson, P. Ogilvie, Y. Zhang, and J. Callan. Information filtering, novelty detection, and named-page finding. In Proceedings TREC 2002. NIST, 2003.
-
(2003)
Proceedings TREC 2002
-
-
Collins-Thompson, K.1
Ogilvie, P.2
Zhang, Y.3
Callan, J.4
-
8
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39(1):1-38, 1977.
-
(1977)
Journal of the Royal Statistical Society
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
9
-
-
0003446320
-
-
Wiley, 2nd edition
-
N. L. Johnson, S. Kotz, and N. Balakrishnan. Continuous Univariate Distributions, volume 1. Wiley, 2nd edition, 1994.
-
(1994)
Continuous Univariate Distributions
, vol.1
-
-
Johnson, N.L.1
Kotz, S.2
Balakrishnan, N.3
-
10
-
-
1542268653
-
Applying support vector machines to the TREC-2001 batch filtering and routing tasks
-
NIST
-
D. D. Lewis. Applying support vector machines to the TREC-2001 batch filtering and routing tasks. In Proceedings TREC 2001, pages 286-292. NIST, 2002.
-
(2001)
Proceedings TREC
, pp. 286-292
-
-
Lewis, D.D.1
-
11
-
-
0034789316
-
Modeling score distributions for combining the outputs of search engines
-
R. Manmatha, T. M. Rath, and F. Feng. Modeling score distributions for combining the outputs of search engines. In Proceedings SIGIR'01, pages 267-275, 2001.
-
(2001)
Proceedings SIGIR'01
, pp. 267-275
-
-
Manmatha, R.1
Rath, T.M.2
Feng, F.3
-
15
-
-
38349101194
-
Routing and filtering
-
E. M. Voorhees and D. K. Harman, editors, chapter 5, MIT Press
-
S. Robertson and J. Callan. Routing and filtering. In E. M. Voorhees and D. K. Harman, editors, TREC: Experiment and Evaluation in Information Retrieval, chapter 5, pages 99-121. MIT Press, 2005.
-
(2005)
TREC: Experiment and Evaluation in Information Retrieval
, pp. 99-121
-
-
Robertson, S.1
Callan, J.2
-
16
-
-
84947012709
-
The parametric description of retrieval tests. part 1: The basic parameters
-
S. E. Robertson. The parametric description of retrieval tests. part 1: The basic parameters. Journal of Documentation, 25(1):1-27, 1969.
-
(1969)
Journal of Documentation
, vol.25
, Issue.1
, pp. 1-27
-
-
Robertson, S.E.1
-
17
-
-
0002442796
-
Machine learning in automated text categorization
-
F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34:1-47, 2002.
-
(2002)
ACM Computing Surveys
, vol.34
, pp. 1-47
-
-
Sebastiani, F.1
-
18
-
-
0003099725
-
Information retrieval systems
-
J. A. Swets. Information retrieval systems. Science, 141(3577):245-250, 1963.
-
(1963)
Science
, vol.141
, Issue.3577
, pp. 245-250
-
-
Swets, J.A.1
-
19
-
-
0042756781
-
Effectiveness of information retrieval methods
-
J. A. Swets. Effectiveness of information retrieval methods. American Documentation, 20:72-89, 1969.
-
(1969)
American Documentation
, vol.20
, pp. 72-89
-
-
Swets, J.A.1
-
20
-
-
0034794540
-
Maximum likelihood estimation for filtering thresholds
-
Y. Zhang and J. Callan. Maximum likelihood estimation for filtering thresholds. In Proceedings SIGIR'01, pages 294-302, 2001.
-
(2001)
Proceedings SIGIR'01
, pp. 294-302
-
-
Zhang, Y.1
Callan, J.2
|