外形 发表于 2025-3-28 18:12:59

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察觉 发表于 2025-3-28 22:42:08

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STIT 发表于 2025-3-29 00:38:12

Tojo Thatchenkery,Keimei Sugiyamarovide a method for efficient hierarchical knowledge elicitation (HKE) from experts working with high-dimensional data such as images or videos. Our method is based on psychometric testing and active deep metric learning. The developed models embed the high-dimensional data in a metric space where d

Morose 发表于 2025-3-29 06:39:42

Tojo Thatchenkery,Keimei Sugiyamaat although the relative propagation speed of topics that are derived from the learned parameter values is rather insensitive to the model selected, there is a clear indication as to which topic better follows which model. The correspondence between the topic and the model selected is well interpret

moribund 发表于 2025-3-29 08:34:21

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使坚硬 发表于 2025-3-29 13:36:25

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压迫 发表于 2025-3-29 18:27:06

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排名真古怪 发表于 2025-3-29 23:21:51

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magnate 发表于 2025-3-29 23:54:32

h stochastic activations and demonstrate their effectiveness in a wide range of Atari 2600 games, a continuous control problem and a car racing task. Lastly, in a qualitative analysis, we present evidence of the proposed model adapting the noise in the policy and value functions to reflect uncertain
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查看完整版本: Titlebook: Making the Invisible Visible; Understanding Leader Tojo Thatchenkery,Keimei Sugiyama Book 2011 Tojo Thatchenkery and Keimei Sugiyama 2011 A