RandomSearch
PulseAugur coverage of RandomSearch — every cluster mentioning RandomSearch across labs, papers, and developer communities, ranked by signal.
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New MMAO-Cls method optimizes classification models with compact feature selection
Researchers have developed MMAO-Cls, a novel approach that adapts the Metabolic Multi-Agent Optimizer (MMAO) for classification model selection. This method jointly encodes feature masks and classifier hyperparameters, …
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New MMAO-Cls method optimizes feature selection and classifier tuning
Researchers have developed MMAO-Cls, a novel approach that utilizes the Metabolic Multi-Agent Optimizer (MMAO) for selecting features and tuning classifiers in machine learning models. This method jointly encodes featur…
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New Metabolic Multi-Agent Optimizer Tackles Dynamic Optimization Challenges
Researchers have developed MMAO-Dyn, a novel metabolic multi-agent optimizer designed for dynamic optimization tasks. This new method adapts the existing Metabolic Multi-Agent Optimizer (MMAO) to handle nonstationary en…