Search alternatives:
predictive optimization » objective optimization (Expand Search)
wolf optimization » whale optimization (Expand Search), policy optimization (Expand Search), swarm optimization (Expand Search)
a predictive » _ predicting (Expand Search), _ prediction (Expand Search), a predictor (Expand Search)
gene based » gender based (Expand Search), agent based (Expand Search), mxene based (Expand Search)
binary a » binary rat (Expand Search)
predictive optimization » objective optimization (Expand Search)
wolf optimization » whale optimization (Expand Search), policy optimization (Expand Search), swarm optimization (Expand Search)
a predictive » _ predicting (Expand Search), _ prediction (Expand Search), a predictor (Expand Search)
gene based » gender based (Expand Search), agent based (Expand Search), mxene based (Expand Search)
binary a » binary rat (Expand Search)
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Published 2021“…Modified Gray Wolf Optimizer (MGWO) is used as a wrapper approach to seek further small sets of genes. …”
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2
A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Published 2023“…The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …”
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …”
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
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Decision trees
Published 2026“…An overview of the basic theory behind decision trees coupled with a summary of binary, multi-way, robust, and optimal decision tree algorithms support social scientists in the use of these supervised machine learning tools for both exploratory and predictive analytic contexts.…”
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