Výsledky vyhledávání - "Algorithm performance"

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    Decoding algorithm appreciation: Unveiling the impact of familiarity with algorithms, tasks, and algorithm performance Autor Mahmud, Hasan, Islam, A.K.M. Najmul, Luo, Xin (Robert), Mikalef, Patrick

    ISSN: 0167-9236
    Vydáno: Elsevier B.V 01.04.2024
    Vydáno v Decision Support Systems (01.04.2024)
    “…: familiarity with algorithms, familiarity with tasks, and familiarity with algorithm performance…”
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    Factors that influence algorithm performance in the Face Recognition Grand Challenge Autor Beveridge, J. Ross, Givens, Geof H., Phillips, P. Jonathon, Draper, Bruce A.

    ISSN: 1077-3142, 1090-235X
    Vydáno: Amsterdam Elsevier Inc 01.06.2009
    “… Specifically, a Generalized Linear Mixed Effect model is used to relate probability of verification to subject and image covariates…”
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    Remote sensing of vital signs by medical radar time-series signal using cardiac peak extraction and adaptive peak detection algorithm: Performance validation on healthy adults and application to neonatal monitoring at an NICU Autor Edanami, Keisuke, Kurosawa, Masaki, Yen, Hoang Thi, Kanazawa, Takeru, Abe, Yoshifusa, Kirimoto, Tetsuo, Yao, Yu, Matsui, Takemi, Sun, Guanghao

    ISSN: 0169-2607, 1872-7565, 1872-7565
    Vydáno: Elsevier B.V 01.11.2022
    “…•A fully non-contact medical radar-based vital sign monitoring system was developed for neonatal monitoring at an NICU.•An advanced signal processing algorithm…”
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    Introduction to face recognition and evaluation of algorithm performance Autor Givens, G.H., Beveridge, J.R., Phillips, P.J., Draper, B., Lui, Y.M., Bolme, D.

    ISSN: 0167-9473, 1872-7352
    Vydáno: Elsevier B.V 01.11.2013
    “… Methods for performance evaluation seek to identify, compare and interpret how characteristics of subjects, the environment and images are associated with the performance of recognition algorithms…”
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    EXPERIMENTAL COMPARISON OF MACHINE LEARNING ALGORITHM PERFORMANCE FOR OPTIMIZING ELECTIVE SUBJECT SELECTION IN PHASE F OF THE MERDEKA CURRICULUM Autor Mulyadi, Dedy

    ISSN: 2723-3863, 2723-3871
    Vydáno: 01.08.2024
    Vydáno v Jurnal Teknik Informatika (Jutif) (01.08.2024)
    “… Students are faced with the challenge of choosing four out of twelve elective subjects that are relevant to their talents, interests, further study plans and career goals over a two-year study period…”
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    Optimizing water supply headworks operating rules under stochastic inputs: Assessment of genetic algorithm performance Autor Cui, Lijie, Kuczera, George

    ISSN: 0043-1397, 1944-7973
    Vydáno: Blackwell Publishing Ltd 01.05.2005
    Vydáno v Water resources research (01.05.2005)
    “…Realistic optimization of the operation of urban water supply headworks systems requires that the issues of system complexity and stochasticity be addressed. A…”
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    SU‐E‐U‐04: MRI‐Targeted, 3D TRUS‐Guided Prostate Biopsy: Measurement of Inter‐Modality Prostate Deformation and Rigid Registration Algorithm Performance Autor Karnik, V, Fenster, A, Bax, J, Romagnoli, C, Ward, A

    ISSN: 0094-2405, 2473-4209
    Vydáno: American Association of Physicists in Medicine 01.06.2011
    Vydáno v Medical Physics (01.06.2011)
    “…‐weighted MR images and six 3D‐TRUS images from six different subjects were acquired during an MRI…”
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    An evaluation of "I, Pancreas" algorithm performance in silico Autor Wilinska, Malgorzata E, Nodale, Marianna

    ISSN: 1932-2968, 1932-3107
    Vydáno: United States 01.07.2009
    “… A simulation environment with 10 critically ill virtual subjects was employed to evaluate the "I, Pancreas" algorithm proposed by Braithwaite et al…”
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    Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting Autor Jonathan Cheung-Wai Chan, Chengquan Huang, DeFries, R.

    ISSN: 0196-2892, 1558-0644
    Vydáno: New York, NY IEEE 01.03.2001
    “…Two ensemble methods, bagging and boosting, were investigated for improving algorithm performance…”
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    Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation Autor Santos, Moisés, de Carvalho, André, Soares, Carlos

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 22.10.2024
    Vydáno v arXiv.org (22.10.2024)
    “…Time series forecasting is a subject of significant scientific and industrial importance…”
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    Simulating human-in-the-loop optimization of exoskeleton assistance to compare optimization algorithm performance Autor Kutulakos, Zoe, Slade, Patrick

    ISSN: 2692-8205
    Vydáno: Cold Spring Harbor Laboratory 09.04.2024
    Vydáno v bioRxiv (09.04.2024)
    “…Assistive robotic devices like exoskeletons offer the promise of improving mobility for millions of people. However, developing devices that improve an…”
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    Lower Bounds on Performance of Metric Tree Indexing Schemes for Exact Similarity Search in High Dimensions Autor Pestov, Vladimir

    ISSN: 0178-4617, 1432-0541
    Vydáno: New York Springer-Verlag 01.06.2013
    Vydáno v Algorithmica (01.06.2013)
    “… , where the query points are subject to the same probability distribution μ as datapoints. Let denote a class of all 1-Lipschitz functions on Ω…”
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    Gene interaction networks boost genetic algorithm performance in biomarker discovery Autor Moschopoulos, Charalampos, Popovic, Dusan, Langone, Rocco, Suykens, Johan, De Moor, Bart, Moreau, Yves

    Vydáno: IEEE 01.12.2014
    “… However, learning algorithms are very often utilized in their basic form, hence sometimes failing to consider interactions that are present between biological subjects (i.e. genes…”
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    Influence of HW-SW-Co-Design on Quantum Computing Scalability Autor Safi, Hila, Wintersperger, Karen, Mauerer, Wolfgang

    Vydáno: IEEE 01.07.2023
    “…The use of quantum processing units (QPUs) promises speed-ups for solving computational problems. Yet, current devices are limited by the number of qubits and…”
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    Efficiency Comparison of Machine Learning Algorithms for EEG Interpretation Autor Han, Xia, Amiel, Frederic, Zhang, Xun, Wei, Kunni, Yan, Cong, Hu, Wenjun, Wang, Zefeng

    ISSN: 2834-9857
    Vydáno: IEEE 11.06.2023
    “…) during a process of EEG-based classification pathology. We use a database of EEG recording signals collected by three electrodes, established by Beijing University of Chinese Medicine and carried out on subjects healthy or affected by strokes…”
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    Enhanced Algorithm Performance for Classification Based on Hyper Surface using Bagging and Adaboost Autor Qing He, Fu-Zhen Zhuang, Xiu-Rong Zhao, Zhong-Zhi Shi

    ISBN: 1424409721, 9781424409723
    ISSN: 2160-133X
    Vydáno: IEEE 01.08.2007
    “… However, its behavior is subject to the characteristics of Minimal Consistent Subset for a disjoint Cover set (MCSC…”
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    Improving multi-objective algorithms performance by emulating behaviors from the human social analogue in candidate solutions Autor Liagkouras, Konstantinos, Metaxiotis, Konstantinos

    ISSN: 0377-2217, 1872-6860
    Vydáno: Elsevier B.V 01.08.2021
    “… Each individual represents a potential solution to the problem at hand. Despite the importance of individual solution for multi-objective algorithms…”
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    Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE Autor Al-Jaishi, Ahmed A., Taljaard, Monica, Al-Jaishi, Melissa D., Abdullah, Sheikh S., Thabane, Lehana, Devereaux, P. J., Dixon, Stephanie N., Garg, Amit X.

    ISSN: 2046-4053, 2046-4053
    Vydáno: London BioMed Central 25.10.2022
    Vydáno v Systematic reviews (25.10.2022)
    “…Background Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requirements to…”
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    Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol Autor Zhang, Hongxu, Hu, Jun, Liu, Hongjian, Yu, Xiaoyang, Liu, Fengqiu

    ISSN: 0925-2312, 1872-8286
    Vydáno: Elsevier B.V 21.06.2019
    Vydáno v Neurocomputing (Amsterdam) (21.06.2019)
    “…This paper discusses the variance-constrained state estimation problem for time-varying nonlinear complex networks subject to missing measurements and stochastic inner coupling…”
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