Search alternatives:
structure optimization » structural optimization (Expand Search), structure determination (Expand Search)
based optimization » whale optimization (Expand Search)
scale structure » age structure (Expand Search), cell structure (Expand Search), surface structure (Expand Search)
binary scale » binary image (Expand Search)
binary rule » binary relief (Expand Search)
structure optimization » structural optimization (Expand Search), structure determination (Expand Search)
based optimization » whale optimization (Expand Search)
scale structure » age structure (Expand Search), cell structure (Expand Search), surface structure (Expand Search)
binary scale » binary image (Expand Search)
binary rule » binary relief (Expand Search)
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Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model
Published 2019“…The methodology incorporates key features of the symmetric eNRTL-SAC model structure to reduce the number of parameters and uses a hybrid of global search algorithms for parameter estimation. …”
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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
Published 2021“…Specifically, the proposed method obtains the optimal DTR via integrating estimations of decision rules at multiple stages into a single multicategory classification algorithm without imposing additional constraints, which is also more computationally efficient and robust. …”
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Analysis and design of algorithms for the manufacturing process of integrated circuits
Published 2023“…The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …”
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Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
Published 2025“…<br>The consistency of the results across different kernels demonstrates that the information contained in the habitat, by itself, leads to a very simple optimal decision rule (mostly the prediction of the most frequent class per habitat), which cannot be improved solely by model adjustments. …”