Iniquitous
发表于 2025-3-30 09:22:54
aduate certificate in advanced electric-drive vehicles, the development of an advanced gasoline turbocharged direct injection engine, and the predictive control of connected vehicles to reduce energy consumption. I have also collaborated with Argonne National Laboratory EV–Smart Grid Interoperabilit
refine
发表于 2025-3-30 15:14:31
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AUGER
发表于 2025-3-30 18:43:49
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旧病复发
发表于 2025-3-31 00:09:28
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Obstreperous
发表于 2025-3-31 01:53:41
ntion mechanism to aggregate all interactive embeddings. Finally, we assign DNNs in the prediction layer to generate the final output. Extensive experiments on three real public datasets show that IISAN achieves better performance than existing state-of-the-art approaches for CTR prediction.
火海
发表于 2025-3-31 08:02:54
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同时发生
发表于 2025-3-31 12:37:15
Heung Sik Kang MD,Sung Hwan Hong MD,Ja-Young Choi MD,Hye Jin Yoo MDces are first constructed and embeddings of each check-in tuple are normalized. Then, MGSAN incorporates spatio-temporal features by introducing two temporal-aware encoders and two spatial-aware encoders and learns sequential patterns with the self-attention network for two granularities. Finally, w
波动
发表于 2025-3-31 15:12:37
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Inclement
发表于 2025-3-31 20:13:07
Heung Sik Kang MD,Sung Hwan Hong MD,Ja-Young Choi MD,Hye Jin Yoo MDose a novel model named Gated Attention Transformer. In our method, .-order cross features are generated by crossing .-order cross features and .-order features, which uses the vanilla attention mechanism instead of the self-attention mechanism and is more explainable and efficient. In addition, as
起草
发表于 2025-3-31 21:46:14
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