بدائل البحث:
binary classification » image classification (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary mapk » binary mask (توسيع البحث), binary image (توسيع البحث)
mapk based » mask based (توسيع البحث), task based (توسيع البحث), app based (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
a binary » _ binary (توسيع البحث)
binary classification » image classification (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary mapk » binary mask (توسيع البحث), binary image (توسيع البحث)
mapk based » mask based (توسيع البحث), task based (توسيع البحث), app based (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
a binary » _ binary (توسيع البحث)
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Class distribution for binary classes.
منشور في 2025"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf
منشور في 2024"…A support vector machine (SVM) is attractive because binary classification can be represented as an optimization problem, in particular as a Quadratic Unconstrained Binary Optimization (QUBO) model, which, in turn, maps naturally to an Ising model, thereby making annealing—classical, quantum, and hybrid—an attractive approach to explore. …"
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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
منشور في 2025"…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …"
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Individual Transition Label Noise Logistic Regression in Binary Classification for Incorrectly Labeled Data
منشور في 2021"…<p>We consider a binary classification problem in the case where some observations in the training data are incorrectly labeled. …"