يعرض 1 - 10 نتائج من 38 نتيجة بحث عن '"Nardini, F. M."', وقت الاستعلام: 0.92s تنقيح النتائج
  1. 1
    تقرير
    Distilled Neural Networks for Efficient Learning to Rank

    المؤلفون: Nardini, F. M., Rulli, C., Trani, S., Venturini, R.

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval, Computer Science - Performance

    URL الوصول: http://arxiv.org/abs/2202.10728

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  2. 2
    تقرير
    Topic Propagation in Conversational Search

    المؤلفون: Mele, I., Muntean, C. I., Nardini, F. M., Perego, R., Tonellotto, N., Frieder, O.

    مصطلحات موضوعية: Computer Science - Information Retrieval, Computer Science - Computation and Language

    URL الوصول: http://arxiv.org/abs/2004.14054

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  3. 3
    Energy-efficient ranking on FPGAs through ensemble model compression (Abstract)

    المؤلفون: Gil-Costa V., Loor F., Molina R., Nardini F. M., Perego R., Trani S.

    المصدر: IIR 2022-12th Italian Information Retrieval Workshop 2022, Tirrenia, Pisa, Italy, 19-22/06/2022

    مصطلحات موضوعية: Learning to Rank, Efficient Inference, SoC FPGA, Model Compression

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______9984::a4a5864fe63fdb12cee8b274fd07df95
    https://openportal.isti.cnr.it/doc?id=people______::53eee5fdce13ed0afa04f0192806cb14

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  4. 4
    Interpretable ranking using LambdaMART (Abstract)

    المؤلفون: Lucchese, C., Nardini, F. M., Orlando, S., Perego, R., Veneri, A.

    المصدر: IIR 2022-12th Italian Information Retrieval Workshop 2022, Milano, Italy, 29-30/06/2022

    مصطلحات موضوعية: Settore INF/01 - Informatica, Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni, Interpretable AI

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cfb8fb3bb838077191ff88c233c585a1
    https://openportal.isti.cnr.it/doc?id=people______::f3cd2bd441dc81b0a70822aef49a8282

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  5. 5
    Dynamic hard pruning of neural networks at the edge of the internet

    المؤلفون: Valerio L., Nardini F. M., Passarella A., Perego R.

    المصدر: IIT TR-21/2020 and ISTI Technical Reports 2020/016, 2020, 2020

    مصطلحات موضوعية: Artificial neural networks, Compression, Pruning, Resource-constrained devices

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2a28c82ae2ab13d7c7e8146ac53af550
    https://publications.cnr.it/doc/439131

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  6. 6
    Quality versus efficiency in document scoring with learning-to-rank models

    المؤلفون: Capannini, Gabriele, Lucchese, C., Nardini, F. M., Orlando, S., Perego, R., Tonellotto, N.

    المصدر: Information Processing & Management. 52(6):1161-1177

    مصطلحات موضوعية: Document scoring, Efficiency, Learning-to-rank, Artificial intelligence, Budget control, C++ (programming language), Economic and social effects, Forestry, Learning algorithms, Learning systems, Parameter estimation, Regression analysis, Boosted regression trees, Effectiveness and efficiencies, Learning to rank, Linear combinations, Multi-threaded implementation, Training parameters, Tree-based learners, Algorithms

    وصف الملف: print

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33482

    View record from ScienceDirect
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  7. 7
    BASMATI - D2.2 Use Case Analysis

    المؤلفون: Jung Y. W., Santoso G. Z., Sembowski F., Schwichtenberg A., Wecker R., Nardini F. M., Dazzi P., Carlini E.

    المصدر: Project report, BASMATI, Deliverable D2.2, 2017

    مصطلحات موضوعية: Complete Analysis, Architecture, Integration

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e3888efbb3ab691709c51bb946186a39
    http://www.cnr.it/prodotto/i/429988

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  8. 8
    Efficient Traversal of Large Ensembles of Decision Trees

    المؤلفون: Lucchese, Claudio, Nardini, F. M., Orlando, Salvatore, Perego, R., Tonellotto, N., Venturini, R.

    مصطلحات موضوعية: Efficiency, Ensemble of decision trees, Learning to rank, Settore INF/01 - Informatica

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3655::9149c674bc39cf1997572dac8508a47b
    http://hdl.handle.net/10278/3692812

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  9. 9
    ISTI Young Research Award 2017

    المؤلفون: Barsocchi P., Basile D., Candela L., Ciancia V., Delle Piane M., Esuli A., Ferrari A., Girardi M., Guidotti R., Lonetti F., Moroni D., Nardini F. M., Rinzivillo S., Vadicamo L.

    المصدر: ISTI Technical reports, 2017

    مصطلحات موضوعية: Young Research Award, GeneralLiterature_MISCELLANEOUS, ComputingMilieux_MISCELLANEOUS

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3c456d672b28cadf83b88231dd3da205
    https://publications.cnr.it/doc/371459

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  10. 10
    GPU-based parallelization of QuickScorer to speed-up document ranking with tree ensembles

    المؤلفون: Lettich, F., Lucchese, C., Nardini, F. M., Orlando, S., Perego, R., NICOLA TONELLOTTO, Venturini, R.

    المصدر: 7th Italian Information Retrieval Workshop, Venezia, Italy, 30-31 May 2016
    info:cnr-pdr/source/autori:Lettich F.; Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Tonellotto N.; Venturini R./congresso_nome:7th Italian Information Retrieval Workshop/congresso_luogo:Venezia, Italy/congresso_data:30-31 May 2016/anno:2016/pagina_da:/pagina_a:/intervallo_pagine
    Scopus-Elsevier

    مصطلحات موضوعية: Learning to rank, Computer Science (all), GPU-based efficient scoring

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b180e1af6b8e101b7ed92ef47d0c5b98
    https://publications.cnr.it/doc/366941

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