“…One challenge is the estimation of the precision parameter in the Dirichlet process mixtures. In this study, we focus on a BNP growth curve model and investigate how non-informative prior, weakly informative prior, accurate informative prior, and inaccurate informative prior affect the model convergence, parameter estimation, and computation time. …”
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“…The abstracts are automatically categorized using latent Dirichlet allocation (LDA) to classify and search semantically linked publications. …”
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“…To this end, 674 policy documents issued by the State Council of China are collected to establish a text corpus, which is then used to extract policy topics by applying the latent dirichlet allocation (LDA) model, a topic modelling approach. …”
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“…The online LDA (Latent Dirichlet Allocation) model is used in this paper to train the social hot topic data of professional migrant workers on the same time slice, and the subtopic evolution and intensity are obtained. …”
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“…The result is a partially supervised Dirichlet process clustering that manages expert inspections online given incremental data. …”
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“…We first simulate a heterogeneous federated-learning benchmark (FedChem) by jointly performing scaffold splitting and latent Dirichlet allocation on existing datasets. Our results on FedChem show that significant learning challenges arise when working with heterogeneous molecules across clients. …”
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“…It is further extended for application to a system of quasilinear elliptic PDEs with Dirichlet boundary conditions (DBCs). The main highlights of the method framed in this article are as under: • It uses a 9-point stencil with unequal mesh to approach the solution. …”
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“…A high resolution is achieved by implementing a modified Dirichlet function (MDF) configured for multi-tone excitation signals. …”
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“…This study investigated the growth and practice of staycations during the first two years of the pandemic by analyzing social media and internet search data using Latent Dirichlet Allocation (LDA) topic modeling and Google Trends analytics. …”
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“…We derive a number of spectral results for Dirac operators in geometrically nontrivial regions in [Formula: see text] and [Formula: see text] of tube or layer shapes with a zigzag-type boundary using the corresponding properties of the Dirichlet Laplacian.…”
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“…In this paper, I look into whether public sentiment improved in response to the CARES Act, and analyze public opinion regarding the CARES Act, implementing a Latent Dirichlet Allocation (LDA) model. The sentiment analysis results indicate a significant improvement of public sentiment following the announcement of the CARES Act, which fades away after a week but improves again as the date to receive the first stimulus check approaches. …”
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“…The recent method scCODA appropriately incorporates these constraints by using a Bayesian Multinomial-Dirichlet model that requires a reference cell type to normalize the distribution of all cell types. …”
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“…Following word segmentation of the collected text, a document topic generation model called Latent Dirichlet Allocation was used to identify and generalize the most common topics. …”
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“…It next discusses the Fourier series and transform in both continuous and discrete cases and analyzes the Dirichlet kernel and Gibbs phenomenon. The author shows how invertibility and periodicity of Fourier transforms are used in the development of signals and filters, addresses the general concept of communication systems, and explains the functioning of a GPS receiver. …”
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“…. ·         Features code segments to curve-fit WLF time-temperature shift and Dirichlet-Prony functions, and a computer application to obtain the convolution inverse of Prony series.  …”
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“…A duality to topologically twisted four-dimensional $\mathcal{N}=4$ theory is discussed, in which the two surface defects are mapped to Dirichlet boundary and 't Hooft line defect. This is consistent with earlier works on the $\mathcal{N}=4$ theory approach to the geometric Langlands correspondence.…”
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“…To filter large-scale data, we employ Natural Language Processing (NLP) methodology called Latent Dirichlet Allocation (LDA) to find the dominant topics in public discourse. …”
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“…We also show that treeLFA improves upon existing methods like latent Dirichlet allocation in various ways. Overall, our findings indicate that topic models can characterize multimorbidity patterns and that genetic analysis of these patterns can provide insight into the etiology of complex traits that cannot be determined from the analysis of constituent traits alone.…”
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“…This framework applies a Latent Dirichlet Allocation (LDA) model, adapting the concept of topic modeling in text mining to flow cytometry. …”
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“…Combined with other improvements to Infernal, including informative mixture Dirichlet priors on model parameters, benchmarks also show increased sensitivity and specificity resulting from improved parameterization.…”
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