메뉴 건너뛰기




Volumn , Issue , 2011, Pages 1571-1576

Learning to rank under multiple annotators

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING APPROACH; LEARNING MODELS; LEARNING TO RANK; MAXIMUM LIKELIHOOD APPROACHES; MAXIMUM LIKELIHOOD LEARNING; RANKING MODEL; TRAINING SAMPLE; VISUAL CLUTTER;

EID: 84878803625     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-264     Document Type: Conference Paper
Times cited : (18)

References (20)
  • 1
    • 38849200550 scopus 로고    scopus 로고
    • A scale invariant measure of clutter
    • Bravi, M. J., and Farid, H., A scale invariant measure of clutter, Journal of Vision (2008) 8(1):23, 1-9.
    • (2008) Journal of Vision , vol.8 , Issue.1
    • Bravi, M.J.1    Farid, H.2
  • 2
    • 34547987951 scopus 로고    scopus 로고
    • Learning to rank: From pairwise approach to listwise approach
    • Cao, Z., et al., Learning to rank: from pairwise approach to listwise approach. ICML, 129-136, 2007.
    • (2007) ICML , pp. 129-136
    • Cao, Z.1
  • 3
    • 77956551248 scopus 로고    scopus 로고
    • Ranking Methods based on the Plackett-Luce Model
    • Cheng, W., et al., Ranking Methods based on the Plackett-Luce Model, ICML, 215-222, 2010.
    • (2010) ICML , pp. 215-222
    • Cheng, W.1
  • 4
    • 77958569749 scopus 로고    scopus 로고
    • What if the Irresponsible Teachers Are Dominating? A Method of Training on Samples and Clustering on Teachers
    • Chen, S., et al., What if the Irresponsible Teachers Are Dominating? A Method of Training on Samples and Clustering on Teachers, AAAI, 419-424, 2010.
    • (2010) AAAI , pp. 419-424
    • Chen, S.1
  • 5
    • 84867409394 scopus 로고    scopus 로고
    • Vox populi: Collecting high-quality labels from a crowd
    • Dekel, O., and Shamir, O., Vox populi: Collecting high-quality labels from a crowd. COLT, 2009.
    • (2009) COLT
    • Dekel, O.1    Shamir, O.2
  • 6
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster et al., Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B, 39(1):1-38, 1977.
    • (1977) Journal of the Royal Statistical Society: Series B , vol.39 , Issue.1 , pp. 1-38
    • Dempster1
  • 7
    • 84881071288 scopus 로고    scopus 로고
    • A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
    • Donmez, P. and Garbonell, J., A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy, SDM, 862-871, 2010.
    • (2010) SDM , pp. 862-871
    • Donmez, P.1    Garbonell, J.2
  • 8
    • 56449096414 scopus 로고    scopus 로고
    • Unsupervised Rank Aggregation with Distance-Based Models
    • Klementiev, A., et al., Unsupervised Rank Aggregation with Distance-Based Models, ICML, 2008.
    • (2008) ICML
    • Klementiev, A.1
  • 9
    • 3142750924 scopus 로고    scopus 로고
    • Cranking: Combining rankings using conditional probability models on permutations
    • Lebanon, G., & Lafferty, J., Cranking: Combining rankings using conditional probability models on permutations. ICML, 2002.
    • (2002) ICML
    • Lebanon, G.1    Lafferty, J.2
  • 10
    • 45449095122 scopus 로고    scopus 로고
    • Letor: Benchmark dataset for research on learning to rank for information retrieval
    • Liu, T-Y., et al., Letor: Benchmark dataset for research on learning to rank for information retrieval. Proceedings of SIGIR Workshop on LTR4IR, 2007.
    • Proceedings of SIGIR Workshop on LTR4IR, 2007
    • Liu, T.-Y.1
  • 13
    • 0000827480 scopus 로고
    • Non-null ranking models
    • Mallow, C. L., Non-null ranking models, Biometrika, 44, 114-130, 1957.
    • (1957) Biometrika , vol.44 , pp. 114-130
    • Mallow, C.L.1
  • 14
    • 0016443515 scopus 로고
    • The analysis of permutations
    • Plackett, R., The analysis of permutations. Applied Stat., 24, 193-202, 1975.
    • (1975) Applied Stat. , vol.24 , pp. 193-202
    • Plackett, R.1
  • 15
    • 77951954464 scopus 로고    scopus 로고
    • Learning From Crowds
    • Raykar, V. C., et al., Learning From Crowds, JMLR, 11 (2010) 1297-1322.
    • (2010) JMLR , vol.11 , pp. 1297-1322
    • Raykar, V.C.1
  • 16
    • 34548133551 scopus 로고    scopus 로고
    • Measuring visual clutter
    • Rosenholtz, R., et al., Measuring visual clutter. Journal of Vision, 7(2):17, 1-22, 2007.
    • (2007) Journal of Vision , vol.7 , Issue.2
    • Rosenholtz, R.1
  • 17
    • 65449144451 scopus 로고    scopus 로고
    • Get another label? Improving data quality and data mining using multiple, noisy labelers
    • Sheng, V., et al., Get another label? Improving data quality and data mining using multiple, noisy labelers. ACM SIGKDD, 614-622, 2008.
    • (2008) ACM SIGKDD , pp. 614-622
    • Sheng, V.1
  • 18
    • 85153964878 scopus 로고
    • Inferring ground truth from subjective labelling of venus images
    • Smyth, P., et al., Inferring ground truth from subjective labelling of venus images. NIPS, 1085-1092. 1995.
    • (1995) NIPS , pp. 1085-1092
    • Smyth, P.1
  • 19
    • 56449094442 scopus 로고    scopus 로고
    • Listwise Approach to Learning to Rank - Theory and Algorithm
    • Xia, F. et al., Listwise Approach to Learning to Rank - Theory and Algorithm, ICML, 1192-1199, 2008.
    • (2008) ICML , pp. 1192-1199
    • Xia, F.1
  • 20
    • 80052400610 scopus 로고    scopus 로고
    • Modeling Annotator Expertise: Learning When Everybody Knows a Bit of Something
    • Yan, Y., et al., Modeling Annotator Expertise: Learning When Everybody Knows a Bit of Something, AISTATS, 932-939, 2010.
    • (2010) AISTATS , pp. 932-939
    • Yan, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.