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modeling algorithm » making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
modeling algorithm » making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”
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PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset.
Published 2025Subjects: -
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ATF-DF-WA Algorithm Experimental Code
Published 2025“…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.…”
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Evaluation of model aggregation algorithms.
Published 2024“…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …”
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Code and data.
Published 2025“…We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.…”
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Hyperspectral Camouflage Detection Dataset and Codes
Published 2025“…The Sample set Partitioning based on joint X–Y distance (SPXY) algorithm was applied to improve representativeness of training subsets, and several classifiers were constructed, including SVM, RF, KNN, CNN, and ResNet. …”
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