简洁
发表于 2025-3-23 11:53:39
Fast or Turbo Spin Echo Imaging,beddings and minimize the information loss. Experiment results on node classification and link prediction tasks show that Cooker outperforms the state of the art baselines in all three compared datasets. A set of ablation experiments also demonstrate that the integration of more types of aggregators
conjunctiva
发表于 2025-3-23 15:37:10
Macroscopic Magnetization Revisited,y used word similarity benchmark datasets. In addition, investigation of the generated vector space also demonstrated the capability of the proposed model to capture the phonetic structure of the spoken-words. To the best of our knowledge, none of the existing works use speech and text entanglement
CHAR
发表于 2025-3-23 21:35:33
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tenuous
发表于 2025-3-23 22:50:42
Fast or Turbo Spin Echo Imaging,ncodes the spatial dependency by separately aggregating different neighborhood representations rather than with multiple layers and capture the temporal dependency with a simple yet effective weighted spatio-temporal aggregation mechanism. We capture the periodic traffic patterns by using a novel po
同来核对
发表于 2025-3-24 05:41:56
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细微差别
发表于 2025-3-24 07:40:25
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子女
发表于 2025-3-24 14:37:39
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冬眠
发表于 2025-3-24 16:22:39
Luís Curvo-Semedo,Filipe Caseiro-Alvesdencies. Experiments on a large-scale Chinese OpenIE dataset SpanSAOKE shows that our model could alleviate the propagation of word segmentation errors and use dependency information more effectively, giving significant improvements over previous neural OpenIE models.
笨拙的我
发表于 2025-3-24 23:01:22
Fundamentals of Clinical Magnetic Resonance,d workers’ class-dependent expertise. Our method embeds the class hierarchy into a latent space and represents samples as well as the worker’s prototypical samples for classes (prototypes) as vectors in this space. The similarities between the vectors in the latent space are used to estimate the tru
愉快么
发表于 2025-3-25 01:29:40
Episode Adaptive Embedding Networks for Few-Shot Learningest lessons can come from failure. What decisions were made, and why? What would the founders have done differently? How did one company become a billion-dollar success while another—with a better product and in the same market—fail? Drawing on personal experience as well as the wisdom of the Silicon Valley978-1-4302-4140-9978-1-4302-4141-6