Showing 261 - 280 results of 408 for search '(((( algorithm cep function ) OR ( algorithm wave function ))) OR ( algorithm python function ))', query time: 0.32s Refine Results
  1. 261

    Data_Sheet_1_Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people.docx by Shuojia Wang (3823360)

    Published 2022
    “…The Chinese version of the Mini-Mental State Examination (MMSE) was used to examine cognitive function. Six machine learning algorithms (including a neural network model) and an ensemble method were trained on data split 2/3 for training and 1/3 testing. …”
  2. 262

    A Scalable Route to First-Order Response Properties with Correlated Sampling Phaseless Auxiliary-Field Quantum Monte Carlo by Leon Otis (20898157)

    Published 2025
    “…As with energies, the quality of predicted dipole moments can be systematically improved with the use of correlated trial wave functions, even (or especially) in strongly correlated regimes. …”
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    Absorption Intensities of Organic Molecules from Electronic Structure Calculations versus Experiments: the Effect of Solvation, Method, Basis Set, and Transition Moment Gauge by Jorge C. Garcia-Alvarez (11934119)

    Published 2024
    “…Here, we focus on a subset of transitions with the highest reliability to further benchmark the OSs from several wave function methods and density functionals. We consider multiple basis sets, transition moment gauges (length, velocity, and mixed), and solvent corrections. …”
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    S1 Dataset - by Alexander Stäuber (10353580)

    Published 2024
    “…Here, we aimed to compare the TTE and oscillometric PWA algorithm Antares for a non-invasive estimation of CO.…”
  9. 269

    Patient characteristics. by Alexander Stäuber (10353580)

    Published 2024
    “…Here, we aimed to compare the TTE and oscillometric PWA algorithm Antares for a non-invasive estimation of CO.…”
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    Supplementary file 1_Hamiltonian formulations of centroid-based clustering.pdf by Myeonghwan Seong (21159605)

    Published 2025
    “…However, defining similarity is often ambiguous, making it challenging to determine the most appropriate objective function for a given dataset. Traditional clustering methods, such as the k-means algorithm and weighted maximum k-cut, focus on specific objectives—typically relying on average or pairwise characteristics of the data—leading to performance that is highly data-dependent. …”
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    Antibody challenge outcomes. by Andrea Blasco (7439102)

    Published 2019
    “…Also shown is the benchmark algorithm implemented in Python (A1) and C++ (A2); note that benchmark algorithms A1 and A2 have perfect accuracy (<i>ACC</i> equal to unity). …”
  16. 276

    Data_Sheet_1_Tomographic Imaging of the Agung-Batur Volcano Complex, Bali, Indonesia, From the Ambient Seismic Noise Field.PDF by Zulfakriza Zulfakriza (8470824)

    Published 2020
    “…We applied the Neighbourhood Algorithm (NA) technique to invert the Rayleigh wave dispersion curves to obtain shear wave velocity (Vs) vs. depth profiles. …”
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