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Mostrando 141 - 160 Resultados de 1,151 Para Buscar '"dirichlet"', tiempo de consulta: 0.22s Limitar resultados
  1. 141
    “…Moreover, we have identified regulators for each target gene by gene regulatory network inference using the dynamical GENIE3 (dynGENIE3) algorithm. The Dirichlet process Gaussian process mixture model and cubic spline regression model (splineTimeR) are employed to identify the key gene modules and differentially expressed genes, respectively. …”
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    Discovering key transcriptomic regulators in pancreatic ductal adenocarcinoma using Dirichlet process Gaussian mixture model
  2. 142
    “…The neighbor-independent and neighbor-dependent probability densities have been accurately estimated using Bayesian nonparametric statistical analysis based on the Dirichlet process. In particular, we used hierarchical Dirichlet process priors, which allow sharing of information between densities for a particular residue type and different neighbor residue types. …”
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    Neighbor-Dependent Ramachandran Probability Distributions of Amino Acids Developed from a Hierarchical Dirichlet Process Model
  3. 143
    “…We propose a genetic association analysis using Dirichlet regression to analyze the Genetic Analysis Workshop 18 data. …”
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    Genetic association analysis for common variants in the Genetic Analysis Workshop 18 data: a Dirichlet regression approach
  4. 144
    “…We consider the question of Markov chain Monte Carlo sampling from a general stick-breaking Dirichlet process mixture model, with concentration parameter [Formula: see text] . …”
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    Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations
  5. 145
    “…Particularly, we introduce and implement a novel technique named Modular Dirichlet Energy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. …”
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    Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
  6. 146
    “…The performance of the Dirichlet process mixture model was validated with two simulation studies.…”
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    Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling
  7. 147
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    Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
  8. 148
    “…The regression model based on the new Dirichlet composition distribution will be considered. …”
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    Online Artículo Texto
    Dirichlet composition distribution for compositional data with zero components: An application to fluorescence in situ hybridization (FISH) detection of chromosome
  9. 149
    “…We used a topic modeling method, Latent Dirichlet Allocation, to identify the most common topics discussed in the Reddit posts. …”
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    Online Artículo Texto
    Sexually Transmitted Disease–Related Reddit Posts During the COVID-19 Pandemic: Latent Dirichlet Allocation Analysis
  10. 150
    “…The major topics of connectomes were classified by Latent Dirichlet allocation (LDA). RESULTS: A total of 14,140 publications were included in the study. …”
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    Research trends and hotspots on connectomes from 2005 to 2021: A bibliometric and latent Dirichlet allocation application study
  11. 151
    “…In this study, a nonparametric mixture of Dirichlet process (MDP) model is applied to segment the tumor images, and the MDP segmentation can be performed without the initialization of the number of clusters. …”
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    Multimodal Brain-Tumor Segmentation Based on Dirichlet Process Mixture Model with Anisotropic Diffusion and Markov Random Field Prior
  12. 152
    “…Refined force estimates are obtained by adopting and modifying a nonparametric Bayesian modeling technique, the Hierarchical Dirichlet Process Switching Linear Dynamical System (HDP-SLDS), for SPT applications. …”
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    Inferring Latent States and Refining Force Estimates via Hierarchical Dirichlet Process Modeling in Single Particle Tracking Experiments
  13. 153
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    Corrigendum to “On a Nonlinear Wave Equation Associated with Dirichlet Conditions: Solvability and Asymptotic Expansion of Solutions in Many Small Parameters”
  14. 154
    “…Understanding and predicting the effect of global change phenomena on biodiversity is challenging given that biodiversity data are highly multivariate, containing information from tens to hundreds of species in any given location and time. The Latent Dirichlet Allocation (LDA) model has been recently proposed to decompose biodiversity data into latent communities. …”
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    The Latent Dirichlet Allocation model with covariates (LDAcov): A case study on the effect of fire on species composition in Amazonian forests
  15. 155
    “…This paper is devoted to study the existence of solutions and their regularity in the [Formula: see text] –Laplacian Dirichlet problem on a bounded time scale. First, we prove a lemma of du Bois–Reymond type in time-scale settings. …”
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    Du Bois–Reymond Type Lemma and Its Application to Dirichlet Problem with the p(t)–Laplacian on a Bounded Time Scale
  16. 156
    por Liu, Kai, Geng, Xiaoyu, Liu, Xiaoyan
    Publicado 2022
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    The application of network agenda setting model during the COVID-19 pandemic based on latent dirichlet allocation topic modeling
  17. 157
    por Martínez-Comeche, Juan-Antonio
    Publicado 2023
    “…Veinticinco años de investigación en redes sociales: evolución de temas entre 1997 y 2021 empleando el algoritmo Asignación Latente de Dirichlet…”
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    Twenty-five Years of Research in Social Networks: Evolution of Topics between 1997 and 2021 Based on Latent Dirichlet Allocation (LDA)
  18. 158
    “…METHODS: This study involved harnessing data from Twitter, including large-scale collection of brand name (N=262,607) and street name (N=204,068) prescription drug–related tweets and use of unsupervised machine learning analyses (ie, natural language processing) of collected data with data visualization to identify pertinent tweet themes. Latent Dirichlet allocation (LDA) with coherence score calculations was performed to compare brand (eg, OxyContin) and street (eg, oxys) name tweets. …”
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    Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses
  19. 159
    “…BACKGROUND: A Bayesian approach based on a Dirichlet process (DP) prior is useful for inferring genetic population structures because it can infer the number of populations and the assignment of individuals simultaneously. …”
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    Characterization of a Bayesian genetic clustering algorithm based on a Dirichlet process prior and comparison among Bayesian clustering methods
  20. 160
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    3CPET: finding co-factor complexes from ChIA-PET data using a hierarchical Dirichlet process
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