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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
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data processing » image processing (Expand Search)
based classes » age classes (Expand Search), based case (Expand Search)
element » elements (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
classes algorithm » lasso algorithm (Expand Search), based algorithm (Expand Search), pass algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
based classes » age classes (Expand Search), based case (Expand Search)
element » elements (Expand Search)
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…The mixture is framed in a Bayesian nonparametric setting, and a transdimensional blocked Gibbs sampler is developed to provide full Bayesian inference on the number of clusters, their structure, and the group-specific parameters, facilitating the computation with respect to customary reversible jump algorithms. The proposed model encompasses a parsimonious latent class model as a special case when the number of components is fixed. …”
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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Data supporting figures and tables in Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams
Published 2025“…</p><h4><b>Use Cases</b></h4><p dir="ltr">This dataset is useful for:</p><ul><li>Benchmarking attention-based models for electrical symbol recognition.</li><li>Studying the impact of class imbalance on detection accuracy.…”