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Found 2 papers, 2 papers with code
A pipeline and comparative study of 12 machine learning models for text classification
Our study aims to provide a new methodology to investigate and optimise the effect of different feature sizes and hyperparameters in machine learning classifiers that are widely used in text classification problems.
Using Machine Learning to Emulate Agent-Based Simulations
Here we compare multiple machine-learning methods for ABM emulation in order to determine the approaches best suited to emulating the complex behaviour of ABMs.
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