Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
testing algorithm » twisting algorithm (Expand Search), hastings algorithm (Expand Search), boosting algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
data processing » image processing (Expand Search)
based testing » based teaching (Expand Search), care testing (Expand Search), acid testing (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
testing algorithm » twisting algorithm (Expand Search), hastings algorithm (Expand Search), boosting algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
data processing » image processing (Expand Search)
based testing » based teaching (Expand Search), care testing (Expand Search), acid testing (Expand Search)
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”
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Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf
Published 2025“…In the supervised stage, these associations were modeled as a function of the environmental features by five supervised algorithms (Support Vector Machine, Random Forest, k-Nearest Neighbors, Naive Bayes, and Stochastic Gradient Boosting), using 80% of the samples for training, leaving the remaining for testing. …”
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Flow of data processing and preparation.
Published 2025“…The gathered properties are processed using normalized techniques to convert unstructured data into structured data, which directly improves the overall prediction accuracy. …”
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An improved Grey Wolf Optimization based heuristic initialization algorithm for feature selection in P2P lending default prediction
Published 2025“…<p>This research addressed the problem of irrelevant feature and high-dimensional data in Peer-to-Peer (P2P) lending, which made the process hard to predict default accurately. …”
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