Fig 6 - حسب Xiaogang Li (299205)

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Fig 7 - حسب Xiaogang Li (299205)

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The normalized acoustic resistance (blue lines) and reactance (red dotted lines) of the optimization case in Fig 7. حسب Xiaogang Li (299205)

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Cross section of the metagrating and the distribution of effective homogeneous layers. حسب Xiaogang Li (299205)

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Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

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F1 score of edges selected through cross-validation on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

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Examples of ground-truth graph structures with (<i>p</i>, <i>n</i>_≠0) = (10, 10). حسب Tomokaze Shiratori (9635271)

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Number of edges selected through cross-validation on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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Number of edges selected through cross-validation on the random graph dataset. حسب Tomokaze Shiratori (9635271)

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Graphs of the regularization terms. حسب Tomokaze Shiratori (9635271)

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F1 score of a given number of selected edges on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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Computation time as a function of the number of variables on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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Computation time as a function of the number of variables on the random graph dataset. حسب Tomokaze Shiratori (9635271)

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F1 score of a given number of selected edges on the random graph dataset. حسب Tomokaze Shiratori (9635271)

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F1 score of edges selected through cross-validation on the random graph dataset. حسب Tomokaze Shiratori (9635271)

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Scattering parameters (<i>S</i>-Matrix) of the simulation model and the experimental bench setup using the 4-channel PTX coil configuration. حسب Maryam Arianpouya (12299222)

Model-Based Clustering of Categorical Data Based on the Hamming Distance حسب Raffaele Argiento (647076)

"…The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. The elements of this family are then considered as kernels of a finite mixture model with an unknown number of components. …"

Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO₃–BiMeO₃ Ceramics حسب Jian Liu (33711)

"…After that, multiple machine learning algorithm models were built to train and predict <i>W</i>_rec and η. …"

Dr. Hannah Lapp’s—like custom features in action. حسب Piotr Popik (292215)