Article

On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach

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Peter AuerAuthors Info & Claims

ICML '97: Proceedings of the Fourteenth International Conference on Machine Learning

Pages 21 - 29

Published: 08 July 1997 Publication History

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Xu TGondra IChiu D(2017)A maximum partial entropy-based method for multiple-instance concept learningApplied Intelligence10.1007/s10489-016-0873-046:4(865-875)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1007/s10489-016-0873-0
Carbonneau MGranger ERaymond AGagnon G(2016)Robust multiple-instance learning ensembles using random subspace instance selectionPattern Recognition10.1016/j.patcog.2016.03.03558:C(83-99)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.patcog.2016.03.035
Karaçalı B(2016)An efficient algorithm for large-scale quasi-supervised learningPattern Analysis & Applications10.1007/s10044-014-0401-y19:2(311-323)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1007/s10044-014-0401-y
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On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
    2. Search methodologies
      1. Discrete space search
      2. Game tree search
  2. Machine learning

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Published In

ICML '97: Proceedings of the Fourteenth International Conference on Machine Learning

July 1997

414 pages

ISBN:1558604863

Editor:
Douglas H. Fisher

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 08 July 1997

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Xu TGondra IChiu D(2017)A maximum partial entropy-based method for multiple-instance concept learningApplied Intelligence10.1007/s10489-016-0873-046:4(865-875)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1007/s10489-016-0873-0
Carbonneau MGranger ERaymond AGagnon G(2016)Robust multiple-instance learning ensembles using random subspace instance selectionPattern Recognition10.1016/j.patcog.2016.03.03558:C(83-99)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.patcog.2016.03.035
Karaçalı B(2016)An efficient algorithm for large-scale quasi-supervised learningPattern Analysis & Applications10.1007/s10044-014-0401-y19:2(311-323)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1007/s10044-014-0401-y
Zhou ZZhang MHuang SLi Y(2012)Multi-instance multi-label learningArtificial Intelligence10.1016/j.artint.2011.10.002176:1(2291-2320)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1016/j.artint.2011.10.002
Xu TChiu DGondra I(2012)Constructing target concept in multiple instance learning using maximum partial entropyProceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition10.1007/978-3-642-31537-4_14(169-182)Online publication date: 13-Jul-2012
https://dl.acm.org/doi/10.1007/978-3-642-31537-4_14
Zafra ARomero CVentura SHerrera-Viedma E(2009)Multi-instance genetic programming for web index recommendationExpert Systems with Applications: An International Journal10.1016/j.eswa.2009.03.05936:9(11470-11479)Online publication date: 1-Nov-2009
https://dl.acm.org/doi/10.1016/j.eswa.2009.03.059
Zhang MZhou Z(2009)Multi-instance clustering with applications to multi-instance predictionApplied Intelligence10.1007/s10489-007-0111-x31:1(47-68)Online publication date: 1-Aug-2009
https://dl.acm.org/doi/10.1007/s10489-007-0111-x
Jorgensen ZZhou YInge M(2008)A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam FiltersThe Journal of Machine Learning Research10.5555/1390681.13907199(1115-1146)Online publication date: 1-Jun-2008
https://dl.acm.org/doi/10.5555/1390681.1390719
Wang CZhang LZhang HLew Mdel Bimbo ABakker E(2008)Graph-based multiple-instance learning for object-based image retrievalProceedings of the 1st ACM international conference on Multimedia information retrieval10.1145/1460096.1460123(156-163)Online publication date: 30-Oct-2008
https://dl.acm.org/doi/10.1145/1460096.1460123
Mangasarian OWild E(2008)Multiple Instance Classification via Successive Linear ProgrammingJournal of Optimization Theory and Applications10.1007/s10957-007-9343-5137:3(555-568)Online publication date: 1-Jun-2008
https://dl.acm.org/doi/10.1007/s10957-007-9343-5
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Cost‐effective multi‐instance multilabel active learning

Diversified dictionaries for multi-instance learning

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