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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
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(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).
Published 2025“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”
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Bayesian-frequentist Hybrid Inference in Applications with Small Sample Sizes
Published 2022“…However, except for few special cases in existing literature, the computation under the hybrid model is generally non-trivial or even unsolvable. This paper develops a computation algorithm for hybrid inference under any general loss functions. …”
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The optimal solution set of NYN by using different algorithms.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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The optimal solution set of HN by using different algorithms.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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On the improvement of reinforcement active learning with the involvement of cross entropy to address one-shot learning problem
Published 2019“…With the involvement of cross-entropy in the loss function of Q-learning, an efficient policy to decide when and where to predict or query an instance is learned through the developed framework. …”
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Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation
Published 2025“…In this paper, we introduce a Bayesian optimization algorithm for conformational ensemble augmentation, that is, locating missing conformers in an existing ensemble, which employs Bayesian optimization with physics-informed torsion-potential-based kernel function and a novel acquisition function that prioritizes potential energy surface exploration for increased conformer diversity. …”
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Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation
Published 2025“…In this paper, we introduce a Bayesian optimization algorithm for conformational ensemble augmentation, that is, locating missing conformers in an existing ensemble, which employs Bayesian optimization with physics-informed torsion-potential-based kernel function and a novel acquisition function that prioritizes potential energy surface exploration for increased conformer diversity. …”
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138
Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation
Published 2025“…In this paper, we introduce a Bayesian optimization algorithm for conformational ensemble augmentation, that is, locating missing conformers in an existing ensemble, which employs Bayesian optimization with physics-informed torsion-potential-based kernel function and a novel acquisition function that prioritizes potential energy surface exploration for increased conformer diversity. …”
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