deferential
发表于 2025-3-21 19:04:42
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详细目录
发表于 2025-3-21 20:18:15
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FOVEA
发表于 2025-3-22 03:05:34
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使成核
发表于 2025-3-22 07:52:06
https://doi.org/10.1007/978-3-642-47908-3rns the sequence specificity of ATAC-seq’s enzyme Tn5 on naked DNA. We found binding preferences and demonstrate that cleavage patterns specific to Tn5 can successfully be discovered by the means of convolutional neural networks. Such models can be combined with accessibility analysis in the future
Limpid
发表于 2025-3-22 09:21:05
https://doi.org/10.1007/978-3-662-01374-8d by exploiting learned online generative models of finger kinematics. The proposed architecture provides a highly flexible framework for the integration of accurate generative models with high-dimensional motion in real-time inference and control problems.
AWE
发表于 2025-3-22 14:59:29
Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Claby interpreting the layers’ weights, which allows understanding of the knowledge about the data cumulated in the network’s layers. The approach, based on a fuzzy measure, allows using Choquet integral to aggregate the knowledge generated in the layer weights and understanding which features (EEG ele
吹气
发表于 2025-3-22 18:13:20
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皮萨
发表于 2025-3-22 22:06:31
Learning Tn5 Sequence Bias from ATAC-seq on Naked Chromatinrns the sequence specificity of ATAC-seq’s enzyme Tn5 on naked DNA. We found binding preferences and demonstrate that cleavage patterns specific to Tn5 can successfully be discovered by the means of convolutional neural networks. Such models can be combined with accessibility analysis in the future
愉快吗
发表于 2025-3-23 03:11:40
Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dd by exploiting learned online generative models of finger kinematics. The proposed architecture provides a highly flexible framework for the integration of accurate generative models with high-dimensional motion in real-time inference and control problems.
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发表于 2025-3-23 08:29:59
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