بدائل البحث:
interactions algorithm » detection algorithm (توسيع البحث), generation algorithm (توسيع البحث)
feature interactions » feature extraction (توسيع البحث), feature information (توسيع البحث), gene interactions (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
data feature » data figure (توسيع البحث), each feature (توسيع البحث), a feature (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
binary same » binary image (توسيع البحث)
same model » game model (توسيع البحث), sample model (توسيع البحث), scale model (توسيع البحث)
interactions algorithm » detection algorithm (توسيع البحث), generation algorithm (توسيع البحث)
feature interactions » feature extraction (توسيع البحث), feature information (توسيع البحث), gene interactions (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
data feature » data figure (توسيع البحث), each feature (توسيع البحث), a feature (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
binary same » binary image (توسيع البحث)
same model » game model (توسيع البحث), sample model (توسيع البحث), scale model (توسيع البحث)
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<i>hi</i>PRS algorithm process flow.
منشور في 2023"…<b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …"
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Generalized Tensor Decomposition With Features on Multiple Modes
منشور في 2021"…While most tensor decomposition methods are developed for a single tensor observation, scientific studies often collect side information, in the form of node features and interactions thereof, together with the tensor data. …"
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Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx
منشور في 2023"…</p>Methods<p>This paper establishes a medical prediction model for the first time on the basis of the enhanced particle swarm optimization (SRWPSO) algorithm and the fuzzy K-nearest neighbor (FKNN), called bSRWPSO-FKNN, which is practiced on a dataset related to patients with AD. …"
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
منشور في 2020"…At the same threshold, the NLP algorithm had a positive predictive value of 0.97 and F1-score of 0.96.…"
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Data Sheet 1_Antibodies and cryptographic hash functions: quantifying the specificity paradox.pdf
منشور في 2025"…The results illustrate and quantify how the humoral immune system achieves both high specificity and high degeneracy simultaneously by effectively decoupling the two properties, similarly to programs in cryptography called secure hash algorithms (SHAs), which display the same paradoxical features. …"
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Data Sheet 2_Antibodies and cryptographic hash functions: quantifying the specificity paradox.pdf
منشور في 2025"…The results illustrate and quantify how the humoral immune system achieves both high specificity and high degeneracy simultaneously by effectively decoupling the two properties, similarly to programs in cryptography called secure hash algorithms (SHAs), which display the same paradoxical features. …"
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Expression vs genomics for predicting dependencies
منشور في 2024"…If you are interested in trying machine learning, the files Features.hdf5 and Target.hdf5 contain the data munged in a convenient form for standard supervised machine learning algorithms.…"
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…These features were selected based on a comprehensive review of toxicological mechanisms associated with metal oxide nanoparticles and their interactions with biological systems.…"