Search alternatives:
case classification » based classification (Expand Search), class classification (Expand Search), image classification (Expand Search)
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data case » data base (Expand Search), data came (Expand Search), data based (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
case classification » based classification (Expand Search), class classification (Expand Search), image classification (Expand Search)
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data case » data base (Expand Search), data came (Expand Search), data based (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Individual Transition Label Noise Logistic Regression in Binary Classification for Incorrectly Labeled Data
Published 2021“…<p>We consider a binary classification problem in the case where some observations in the training data are incorrectly labeled. …”
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DataSheet2_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.PDF
Published 2022“…Here, we propose an automatized binary disorder–order classification method by analyzing far-UV CD spectroscopy data. …”
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DataSheet3_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.xlsx
Published 2022“…Here, we propose an automatized binary disorder–order classification method by analyzing far-UV CD spectroscopy data. …”
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DataSheet1_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.PDF
Published 2022“…Here, we propose an automatized binary disorder–order classification method by analyzing far-UV CD spectroscopy data. …”
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Implementation of Adaptive Genetic Algorithm for classification problems
Published 2022“…<p>Genetic algorithms are one of the most</p> <p>commonly used approaches in data mining. …”
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