Article

Learning to order things

Authors:

William W. Cohen,

Robert E. Schapire,

Yoram SingerAuthors Info & Claims

NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems 10

Pages 451 - 457

Published: 31 July 1998 Publication History

Abstract

No abstract available.

Cited By

View all

Jurewicz MDerczynski L(2021)Set-to-Sequence Methods in Machine LearningJournal of Artificial Intelligence Research10.1613/jair.1.1283971(885-924)Online publication date: 10-Sep-2021
https://dl.acm.org/doi/10.1613/jair.1.12839
Kuhlman CRundensteiner E(2020)Rank aggregation algorithms for fair consensusProceedings of the VLDB Endowment10.14778/3407790.340785513:12(2706-2719)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.14778/3407790.3407855
Wang MChen XLiu WQian CLin LMa L(2018)DRPose3DProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304415.3304554(978-984)Online publication date: 13-Jul-2018
https://dl.acm.org/doi/10.5555/3304415.3304554
Show More Cited By

Index Terms

Learning to order things
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Logical and relational learning
        Inductive logic learning
      2. Neural networks
2. Mathematics of computing
  1. Mathematical software

Recommendations

Making Things Talk: Using Sensors, Networks, and Arduino to see, hear, and feel your world
Making Things Talk: Using Sensors, Networks, and Arduino to See, Hear, and Feel Your World
Learning to order things

There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order instances given feedback in the form of preference judgments, i.e., statements to the effect that one ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems 10

July 1998

1089 pages

ISBN:0262100762

Editors:
Michael I. Jordan
MIT
,
Michael J. Kearns
AT&T Labs—Research
,
Sara A. Solla
Northwestern Univ.

Publisher

MIT Press

Cambridge, MA, United States

Publication History

Published: 31 July 1998

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

47
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 17 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Jurewicz MDerczynski L(2021)Set-to-Sequence Methods in Machine LearningJournal of Artificial Intelligence Research10.1613/jair.1.1283971(885-924)Online publication date: 10-Sep-2021
https://dl.acm.org/doi/10.1613/jair.1.12839
Kuhlman CRundensteiner E(2020)Rank aggregation algorithms for fair consensusProceedings of the VLDB Endowment10.14778/3407790.340785513:12(2706-2719)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.14778/3407790.3407855
Wang MChen XLiu WQian CLin LMa L(2018)DRPose3DProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304415.3304554(978-984)Online publication date: 13-Jul-2018
https://dl.acm.org/doi/10.5555/3304415.3304554
Mareeswari VSathiyamoorthy E(2018)LocPSORank-Prediction of Ranking of Web Services Using Location-Based Clustering and PSO AlgorithmInternational Journal of Web Services Research10.4018/IJWSR.201807010315:3(38-60)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJWSR.2018070103
Parekh JTibrewal HParekh SAizawa KLew MSatoh S(2018)Deep Pairwise Classification and Ranking for Predicting Media InterestingnessProceedings of the 2018 ACM on International Conference on Multimedia Retrieval10.1145/3206025.3206078(428-433)Online publication date: 5-Jun-2018
https://dl.acm.org/doi/10.1145/3206025.3206078
Peysakhovich AUgander JConitzer VGuérin R(2017)Learning context-dependent preferences from raw dataProceedings of the 12th workshop on the Economics of Networks, Systems and Computation10.1145/3106723.3106731(1-1)Online publication date: 27-Jun-2017
https://dl.acm.org/doi/10.1145/3106723.3106731
Chen SJoachims TKrishnapuram BShah MSmola AAggarwal CShen DRastogi R(2016)Predicting Matchups and Preferences in ContextProceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2939672.2939764(775-784)Online publication date: 13-Aug-2016
https://dl.acm.org/doi/10.1145/2939672.2939764
Qian LGao JJagadish H(2015)Learning user preferences by adaptive pairwise comparisonProceedings of the VLDB Endowment10.14778/2809974.28099928:11(1322-1333)Online publication date: 1-Jul-2015
https://dl.acm.org/doi/10.14778/2809974.2809992
Jia LYu CMeng W(2013)The Impacts of Structural Difference and Temporality of Tweets on Retrieval EffectivenessACM Transactions on Information Systems10.1145/250075131:4(1-38)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1145/2500751
Becker LPalmer Mvan Vuuren SWard W(2012)Question ranking and selection in tutorial dialoguesProceedings of the Seventh Workshop on Building Educational Applications Using NLP10.5555/2390384.2390385(1-11)Online publication date: 7-Jun-2012
https://dl.acm.org/doi/10.5555/2390384.2390385
Show More Cited By

Abstract

Cited By

Index Terms

Recommendations

Making Things Talk: Using Sensors, Networks, and Arduino to see, hear, and feel your world

Making Things Talk: Using Sensors, Networks, and Arduino to See, Hear, and Feel Your World

Learning to order things

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations