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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm loss » algorithms less (Expand Search), algorithm allows (Expand Search), algorithm shows (Expand Search)
algorithm relu » algorithm seu (Expand Search), algorithm setup (Expand Search), algorithms real (Expand Search)
relu function » cell function (Expand Search), cells function (Expand Search), gene function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm loss » algorithms less (Expand Search), algorithm allows (Expand Search), algorithm shows (Expand Search)
algorithm relu » algorithm seu (Expand Search), algorithm setup (Expand Search), algorithms real (Expand Search)
relu function » cell function (Expand Search), cells function (Expand Search), gene function (Expand Search)
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Search Algorithms and Loss Functions for Bayesian Clustering
Published 2022“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”
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Loss function values of target detection algorithms during training.
Published 2024“…<p>Loss function values of target detection algorithms during training.…”
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Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks
Published 2025“…By leveraging group <math><mrow><msub><mrow><mi>l</mi></mrow><mn>0</mn></msub></mrow></math>-norm constrained neural networks, the proposed approach aims to simultaneously extract crucial features and estimate the underlying model function with statistically guaranteed accuracy. Under some mild conditions, we establish statistical theories of the proposed method for a general class of nonparametric regression-type loss functions. …”
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