Showing 41 - 60 results of 1,531 for search 'feedback generalization', query time: 0.10s Refine Results
  1. 41

    Feedback-Driven Pattern Matching in Time Series Data by M. Van Onsem, V. Ledoux, W. Melange, D. Dreesen, S. Van Hoecke

    Published 2025-01-01
    “…While motif discovery methods have come a long way over the years, they generally match occurrences based on the similar shape of the whole subsequence. …”
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    Article
  2. 42

    Mirror Visual Feedback to Improve Bradykinesia in Parkinson’s Disease by Gaia Bonassi, Elisa Pelosin, Carla Ogliastro, Cecilia Cerulli, Giovanni Abbruzzese, Laura Avanzino

    Published 2016-01-01
    “…Mirror visual feedback (MVF) therapy has been applied to improve upper limb function in stroke. …”
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    Article
  3. 43

    PATHOLOGY TEACHING LEARNING METHODS – STUDENTS’ PERCEPTION AND FEEDBACK by Dr. Fauzia Sadiq, Dr. Asad Amin, Taha Tariq, Javeria Ahmed, Azan Ali, Dr. Shazia I Rasa

    Published 2023-03-01
    “…Results: 33.3% students found pathology subject interesting, 47.5% clinically helpful, and 27.5% considered General Pathology to be a difficult subject. Conclusion: Taking feedbacks from the students is one of the accepted and reliable methods of assessment. …”
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    Generalization of Computer Assisted Prosody Training: Quantitative and Qualitative Findings by Debra M. Hardison

    Published 2004-01-01
    “…Two experiments investigated the effectiveness of computer-assisted prosody training, its generalization to novel sentences and segmental accuracy, and the relationship between prosodic and lexical information in long-term memory. …”
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  6. 46
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    Knowledge support for optimising antibiotic prescribing for common infections in general practices: evaluation of the effectiveness of periodic feedback, decision support during consultations and peer comparisons in a cluster randomised trial (BRIT2) – study protocol by Tjeerd Van Staa, Darren Ashcroft, Christopher Sutton, Rachel Ann Elliott, Victoria Palin, Edward Tempest, Chris Armitage, William Welfare, Georgina Moulton, Anita Sharma, Natalie Gold, Jung Yin Tsang, Ali Fahmi, Harriet Cant, Xiaomin Zhong, Francine Jury, Philip Couch, Iain Edward Buchan

    Published 2023-08-01
    “…Methods and analysis A pragmatic cluster randomised controlled trial will be conducted, with randomisation of at least 112 general practices in North-West England. General practices participating in the trial will be randomised to the following interventions: periodic practice-level and individual prescriber feedback using dashboards; or the same dashboards plus a KSS. …”
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    Article
  8. 48

    Asymptotic behaviour of nonlinear viscoelastic wave equations with boundary feedback by Abdelbaki Choucha, Khaled Mahdi, Salah Boulaaras, Rashid Jan, Taha Radwan

    Published 2025-12-01
    “…In this study, we investigate a nonlinear viscoelastic wave equation subject to acoustic boundary conditions and a nonlinear distributed delay feedback acting on the boundary. The asymptotic behaviour of solutions is analysed by considering a general kernel formulation and imposing suitable assumptions.…”
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  9. 49

    Growth‐mediated negative feedback shapes quantitative antibiotic response by S Andreas Angermayr, Tin Yau Pang, Guillaume Chevereau, Karin Mitosch, Martin J Lercher, Tobias Bollenbach

    Published 2022-09-01
    “…Our results indicate that growth‐mediated feedback loops may shape drug responses more generally and could be exploited to design evolutionary traps that enable selection against drug resistance.…”
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    Article
  10. 50

    THE EFFECT OF TEACHERS’ DIRECT AND INDIRECT FEEDBACK ON STUDENT’ S WRITING ABILITY by Yuli Latifah, Bambang Suwarno, Irma Diani

    Published 2019-02-01
    “…Based on the data analysis, the indirect feedback technique was positively effective in increasing on students’ writing ability, on general writing ability. …”
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    Article
  11. 51

    An Optimal Feedback Control for Nonautonomous Evolution Equations With Integrodifferential Type by Longxu Li, Huiting Lu

    Published 2025-01-01
    “…In this paper, we study the optimal feedback control framework for a class of nonautonomous evolution equations involving integrodifferential operators. …”
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    Article
  12. 52

    Adaptive State Feedback Control for Lipschitz Nonlinear Singular Systems by Azita Azarfar, Heydar Toossian Shandiz, Masoud Shafiee

    Published 2024-02-01
    “…The presentedcontroller is composed of a state feedback approach with adaptive gains and amechanism to adjust the gains based on the Lyapunov stability theorem. …”
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    Article
  13. 53

    The Perceived Usefulness of Patient Narrative Feedback in Primary Care Settings by Sasmira Matta, Yuna Lee, Rachel Grob, Mark Schlesinger, Ingrid Nembhard

    Published 2024-08-01
    “…We found that perceived usefulness of patient narratives is generally high, but varies by individual characteristics such as level of burnout and professional role and with organizational characteristics such as clinic's learning orientation and history of using patient feedback to improve quality. …”
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    Article
  14. 54

    Effects of corticothalamic feedback depend on visual responsiveness and stimulus type by Lisa Schmors, Ann H. Kotkat, Yannik Bauer, Ziwei Huang, Davide Crombie, Lukas Sebastian Meyerolbersleben, Sacha Sokoloski, Philipp Berens, Laura Busse

    Published 2025-06-01
    “…We recorded extracellular responses in the dLGN of mice viewing a movie stimulus, while photosuppressing CT feedback and tracking locomotion and pupil size. Using generalized linear models fit to single neuron responses, we found that including CT feedback and behavioral state improved model predictions, especially for a subpopulation of neurons poorly responsive to the movie. …”
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  15. 55

    Zero-shot Image Classification Method Based on Discriminator Feedback by FAN Yufei, DING Bo, HE Yongjun

    Published 2023-02-01
    “…Zero-shot learning (ZSL) strives to classify unseen categories for which no data is available during training.At present, among generative methods, zero-shot learning based on joint generative model VAEGAN is a research hotspot.On this basis, we propose a zero-shot image classification method based on Discriminator Feedback VAEGAN (DF-VAEGAN).This method introduces a feedback module in the discriminator part, which can improve the overall performance of the model in the training stage.In the feature generation stage, it can be combined with the generator to jointly improve the quality of feature generation.Finally, the classifier is trained through high quality synthetic features to improve classification accuracy.The method also reconstructs attribute features through the decoder and uses a cycle consistency loss to ensure semantic consistency of the generated feature.Experiments on ZSL and generalized zero-shot learning (GZSL) show that our method outperforms existing methods on five classical datasets, effectively enhancing the quality of feature synthesis and reducing the goal of between categories in the zero-shot image classification task.…”
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  16. 56

    Empirical Reduced-Order Modeling for Boundary Feedback Flow Control by Seddik M. Djouadi, R. Chris Camphouse, James H. Myatt

    Published 2008-01-01
    “…The method is applied to a prototype convective flow on obstacle geometry. An H∞ feedback flow controller is designed based on the reduced model to achieve tracking and then applied to the full-order model with excellent performance.…”
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  17. 57

    Teachers’ and students’ attitudes towards feedback: Contradictions and development trends by A. A. Azbel, L. S. Ilyushin, E. I. Kazakova, P. A. Morozova

    Published 2022-09-01
    “…To mark the general didactic boundaries of the theoretical discussion, the authors chose the feedback literacy model, which consists of four components: the acceptance of the value of feedback, the ability to make judgments, the control of emotions, and the ability to act on the basis of feedback. …”
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  18. 58

    Public feedback to FDA on regulatory considerations for AI in drug manufacturing by Jayanti Das, Thomas F. O’Connor, Adam C. Fisher, Manuel Osorio, Johnny Lam, Riley C. Myers

    Published 2025-05-01
    “…To ensure that FDA’s evaluation of the regulatory framework for AI is thorough, interested parties were invited to comment on the discussion paper and provide feedback through moderated discussions at the public workshop. …”
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