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Mostrando 21 - 40 Resultados de 475 Para Buscar '"KDE"', tiempo de consulta: 0.16s Limitar resultados
  1. 21
    “…Monte Carlo simulations show that the proposed method performs substantially better than the traditional (i.e., frequency-based) kernel density estimation (trKDE) which has been used in applied settings while two illustrative examples demonstrate that the proposed approach can yield superior results compared to the popular trKDE approach. …”
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    Nonparametric Evaluation of Dynamic Disease Risk: A Spatio-Temporal Kernel Approach
  2. 22
    “…We observed reduced frequency of rearrangements of the kappa‐deleting element (KDE) in SLE and an inverse correlation between the frequency of KDE rearrangement and the frequency of dual light chain expressing B cells. …”
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    Online Artículo Texto
    Immunoglobulin light chain allelic inclusion in systemic lupus erythematosus
  3. 23
    “…Furthermore, the frontend allows full access to the C++ backend, so that the KDE can be used on any binnable one-dimensional input data. …”
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    Online Artículo Texto
    X-Entropy: A Parallelized Kernel Density Estimator with Automated Bandwidth Selection to Calculate Entropy
  4. 24
    “…RESULTS: In the simulation, KDE detected increased coupling strength at the lowest SNR among the three methods. …”
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    Online Artículo Texto
    Transfer Entropy Estimation and Directional Coupling Change Detection in Biomedical Time Series
  5. 25
    “…RESULTS: We evaluated the algorithm by kernel density estimation (KDE) and support vector machine (SVM) methods. Sensitivity and specificity for KDE were 0.939 and 0.912, respectively. …”
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    Online Artículo Texto
    Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection
  6. 26
    “…The average 100% minimum convex polygon (MCP) home range size was 10.05 ± 1.17 ha, and the estimated KDE core area (fiexed kernel density estimator, KDE) size was 7.84 ± 1.18 ha. …”
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    Online Artículo Texto
    Home range size and habitat use of the blue-crowned laughingthrush during the breeding season
  7. 27
    por Nakamura, Daishi, Ishii, Masahiro
    Publicado 2011
    “…Its 3D shape becomes apparent when it is rotated about an axis parallel to the screen (KDE). The relative motion of the points gives depth information but perspective information is not present. …”
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    Online Artículo Texto
    The Influence of Observer's Voluntary Action on Perception of Kinetic Depth Display
  8. 28
    “…The use of KDE improves performance when healthy training data are contaminated. …”
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    Online Artículo Texto
    Improving Visual Defect Detection and Localization in Industrial Thermal Images Using Autoencoders
  9. 29
    por Hübner, K, De Jonge, M, Myers, S
    Publicado 1973
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    Determination of long density by spill-out experiments
  10. 30
    por Jennings, B K, De Takacsy, N
    Publicado 1983
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    Further evidence for the EELL effect
  11. 31
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    Une nouvelle strategie pour sauver la planete
  12. 32
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    9th International Symposium on Frontiers of Fundamental and Computational Physics
  13. 33
    “…ANNs were trained by cross entropy (CE) values estimated between probabilities of showing certain levels of immunologic parameters and a reference mode probability proposed by kernel density estimation (KDE). The weight decay regularization parameter of the ANNs was determined by 10-fold cross-validation. …”
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    Online Artículo Texto
    Artificial Neural Networks for the Diagnosis of Aggressive Periodontitis Trained by Immunologic Parameters
  14. 34
    “…We present a novel approach of examining relative changes in area under polygons created from encircling successive biomass categories on the KDE surface to identify “significant concentrations” of biomass, which we equate to VMEs. …”
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    Online Artículo Texto
    Kernel Density Surface Modelling as a Means to Identify Significant Concentrations of Vulnerable Marine Ecosystem Indicators
  15. 35
    “…We will determine how eight functional diversity metrics (functional richness, functional evenness, functional divergence, functional dispersion, kernel density estimation (KDE) richness, KDE evenness, KDE dispersion, Rao’s Q) differ based on the number of traits used in the metric calculation and on the correlation of traits when holding the number of traits constant. …”
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    Online Artículo Texto
    Exploring the impact of trait number and type on functional diversity metrics in real-world ecosystems
  16. 36
    por Hansen, S, Henrichsen, K, De Jonge, M
    Publicado 1972
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    Run no. 209, 4.8.1972, 20 bunches, R1: Lifetime of Rebunched Beam
  17. 37
    “…RESULTS: Although originally designed for GPS tracking studies, dBBMMs outperformed MCPs and KDE h(ref) across all tracking regimes in accurately revealing movement pathways, with only KDE LSCV performing comparably at some higher frequency sampling regimes. …”
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    Online Artículo Texto
    Reptiles on the wrong track? Moving beyond traditional estimators with dynamic Brownian Bridge Movement Models
  18. 38
    Enlace del recurso
    Effective and creative leadership in diverse workforces: improving organizational performance and culture in the workplace
  19. 39
    por Kohout, Pavel
    Publicado 1990
    Libro
    Dónde está enterrado el perro/
  20. 40
    por Hübner, K, De Jonge, M, Hansen, S
    Publicado 1972
    Enlace del recurso
    Runs 149, 151F, 11.71 GeV/c, 4 and 20 bunches, 20.3.1972
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