يعرض 1 - 10 نتائج من 14 نتيجة بحث عن '"Charlotte Laclau"', وقت الاستعلام: 1.11s تنقيح النتائج
  1. 1
    Understanding the Benefits of Forgetting When Learning on Dynamic Graphs

    المؤلفون: Julien Tissier, Charlotte Laclau

    المصدر: Machine Learning and Knowledge Discovery in Databases ISBN: 9783031263897

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f5be7af3451950c2d8aee2d1b2d75269
    https://doi.org/10.1007/978-3-031-26390-3_3

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  2. 2
    An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT

    المؤلفون: Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier

    المصدر: Advances in Intelligent Data Analysis XXI ISBN: 9783031300462

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::192573abc64c302886f566e94495e1f5
    https://doi.org/10.1007/978-3-031-30047-9_20

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  3. 3
    Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection

    المؤلفون: Raphaël Chevasson, Charlotte Laclau, Christophe Gravier

    المصدر: Advances in Intelligent Data Analysis XXI ISBN: 9783031300462

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c7855071b6a5d790afa0ba6fc786e3f0
    https://doi.org/10.1007/978-3-031-30047-9_6

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  4. 4
    Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation

    المؤلفون: Aleksandra Burashnikova, Massih-Reza Amini, Yury Maximov, Franck Iutzeler, Marianne Clausel, Charlotte Laclau

    المصدر: Journal of Artificial Intelligence Research. 71:121-142

    مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, business.industry, Recommender system, Machine learning, computer.software_genre, Computer Science - Information Retrieval, Machine Learning (cs.LG), Automated theorem proving, Artificial Intelligence, Artificial intelligence, business, computer, Information Retrieval (cs.IR), Sequence (medicine)

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cb40d3a3017044390a3b3bbb89e7b4a
    https://doi.org/10.1613/jair.1.12562

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  5. 5
    User preference and embedding learning with implicit feedback for recommender systems

    المؤلفون: Massih-Reza Amini, Mikhail Trofimov, Charlotte Laclau, Yury Maximov, Oleh Horodnytskyi, Sumit Sidana

    المصدر: Data Mining and Knowledge Discovery. 35:568-592

    مصطلحات موضوعية: Computer Networks and Communications, business.industry, Computer science, 02 engineering and technology, Recommender system, Machine learning, computer.software_genre, Preference, Computer Science Applications, Consistency (database systems), Ranking, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Collaborative filtering, 020201 artificial intelligence & image processing, Empirical risk minimization, Artificial intelligence, business, Representation (mathematics), Preference relation, computer, Information Systems

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fc9127d684badfaafc4089a018207fd6
    https://doi.org/10.1007/s10618-020-00730-8

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  6. 6
    On Fair Cost Sharing Games in Machine Learning

    المؤلفون: Ievgen Redko, Charlotte Laclau

    المصدر: AAAI

    مصطلحات موضوعية: business.industry, Computer science, Collaborative learning, General Medicine, Machine learning, computer.software_genre, Upper and lower bounds, symbols.namesake, Nash equilibrium, symbols, Cost sharing, Artificial intelligence, business, Link (knot theory), Set (psychology), computer, Game theory

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::16a9eb33bd1ed40295bd14fa6834c0b9
    https://doi.org/10.1609/aaai.v33i01.33014790

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  7. 7
    Noise-free latent block model for high dimensional data

    المؤلفون: Vincent Brault, Charlotte Laclau

    المساهمون: Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Statistique pour le Vivant et l’Homme (SVH), Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), This work has been partially supported by the LabEx PERSYVAL-Lab (ANR-11-LABX-0025-01) funded by the French program Investissement d’avenir, Laboratoire Hubert Curien (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS)

    المصدر: Data Mining and Knowledge Discovery
    Data Mining and Knowledge Discovery, Springer, 2019, 33 (2), pp.446-473. ⟨10.1007/s10618-018-0597-3⟩
    Data Mining and Knowledge Discovery, 2019, 33 (2), pp.446-473. ⟨10.1007/s10618-018-0597-3⟩

    مصطلحات موضوعية: Clustering high-dimensional data, [STAT.AP]Statistics [stat]/Applications [stat.AP], Computer Networks and Communications, Computer science, Feature selection, [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], 02 engineering and technology, computer.software_genre, Partition (database), Computer Science Applications, ComputingMethodologies_PATTERNRECOGNITION, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Noise cluster, Block model, Unsupervised learning, 020201 artificial intelligence & image processing, Bayesian framework, Data mining, Cluster analysis, [STAT.ME]Statistics [stat]/Methodology [stat.ME], computer, Information Systems

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46195cd681f731430446b37db42ef8a0
    https://doi.org/10.1007/s10618-018-0597-3

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  8. 8
    Learning to recommend diverse items over implicit feedback on PANDOR

    المؤلفون: Sumit Sidana, Massih-Reza Amini, Charlotte Laclau

    المصدر: RecSys

    مصطلحات موضوعية: Information retrieval, Computer science, 020204 information systems, Scalability, 0202 electrical engineering, electronic engineering, information engineering, Contextual information, 020201 artificial intelligence & image processing, 02 engineering and technology, Recommender system, Representation (mathematics), Popularity

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b90d5b8033256748435cc7b3aeade303
    https://doi.org/10.1145/3240323.3240400

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  9. 9
    Diagonal latent block model for binary data

    المؤلفون: Mohamed Nadif, Charlotte Laclau

    المصدر: Statistics and Computing. 27:1145-1163

    مصطلحات موضوعية: Statistics and Probability, business.industry, Homogeneity (statistics), Diagonal, Pattern recognition, 02 engineering and technology, Document clustering, Mixture model, 01 natural sciences, Theoretical Computer Science, Biclustering, 010104 statistics & probability, Bernoulli's principle, Computational Theory and Mathematics, Binary data, 0202 electrical engineering, electronic engineering, information engineering, Block model, 020201 artificial intelligence & image processing, Artificial intelligence, 0101 mathematics, Statistics, Probability and Uncertainty, business, Algorithm, Mathematics

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b9d5883ec7039a367a4f348030473b6b
    https://doi.org/10.1007/s11222-016-9677-7

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  10. 10
    Hard and fuzzy diagonal co-clustering for document-term partitioning

    المؤلفون: Charlotte Laclau, Mohamed Nadif

    المصدر: Neurocomputing. 193:133-147

    مصطلحات موضوعية: Fuzzy clustering, business.industry, Cognitive Neuroscience, Diagonal, Correlation clustering, Single-linkage clustering, Constrained clustering, Pattern recognition, 02 engineering and technology, 01 natural sciences, Computer Science Applications, Biclustering, 010104 statistics & probability, Data stream clustering, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, 0101 mathematics, business, Cluster analysis, Mathematics

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b83c966bac2a50ed2f76ad1e2e12a46f
    https://doi.org/10.1016/j.neucom.2016.02.003

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