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Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
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In: Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings ; 2020 European Conference on Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03178193 ; 2020 European Conference on Information Retrieval, Apr 2020, Lisbon (on line), Portugal. ⟨10.1007/978-3-030-45439-5_53⟩ (2020)
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Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
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Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views ...
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Multiview self-learning
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In: ISSN: 0925-2312 ; Neurocomputing ; https://hal.archives-ouvertes.fr/hal-01211216 ; Neurocomputing, Elsevier, 2015, 155, pp.117-127. ⟨10.1016/j.neucom.2014.12.041⟩ ; http://www.sciencedirect.com/science/article/pii/S0925231214017056 (2015)
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Multiview Semi-Supervised Learning for Ranking Multilingual Documents
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In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ; https://hal.archives-ouvertes.fr/hal-01286156 ; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2011, Athens, Greece. pp.443-458, ⟨10.1007/978-3-642-23808-6_29⟩ (2011)
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A Co-classification Approach to Learning from Multilingual Corpora
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In: ISSN: 0885-6125 ; EISSN: 1573-0565 ; Machine Learning ; https://hal.archives-ouvertes.fr/hal-01172633 ; Machine Learning, Springer Verlag, 2010, 79 (1-2), pp.105-121. ⟨10.1007/s10994-009-5151-5⟩ (2010)
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Multiview Clustering of Multilingual Documents
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In: Proceedings of the 33rd Annual ACM SIGIR Conference (SIGIR 2010) ; The 33rd Annual ACM SIGIR Conference (SIGIR 2010) ; https://hal.archives-ouvertes.fr/hal-01292100 ; The 33rd Annual ACM SIGIR Conference (SIGIR 2010), Jul 2010, Geneva, Switzerland. pp.812-822, ⟨10.1145/1835449.1835633⟩ (2010)
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Abstract:
International audience ; We propose a new multi-view clustering method which uses clustering results obtained on each view as a voting pattern in order to construct a new set of multi-view clusters. Our experiments on a multilingual corpus of documents show that performance increases significantly over simple concatenation and another multi-view clustering technique.
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Keyword:
[INFO]Computer Science [cs]
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URL: https://hal.archives-ouvertes.fr/hal-01292100 https://doi.org/10.1145/1835449.1835633
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Combining Coregularization and Consensus-Based Self-Training for Multilingual Text Categorization
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In: Proceedings of the 33rd Annual ACM SIGIR Conference (SIGIR 2010) ; The 33rd Annual ACM SIGIR Conference (SIGIR 2010) ; https://hal.archives-ouvertes.fr/hal-01291883 ; The 33rd Annual ACM SIGIR Conference (SIGIR 2010), Jul 2010, Geneva, Switzerland. pp.475-482, ⟨10.1145/1835449.1835529⟩ (2010)
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Learning from Multiple Partially Observed Views -- an Application to Multilingual Text Categorization
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In: Advances in Neural Information Processing Systems ; https://hal.archives-ouvertes.fr/hal-01297947 ; Advances in Neural Information Processing Systems, Dec 2009, Vancouver, Canada (2009)
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