unweighting process
卸重过程
unweighting load
卸载重量
unweighting effect
卸重效果
unweighting system
卸重系统
unweighting mechanism
卸重机制
unweighting structure
卸重结构
unweighting stage
卸重阶段
unweighting analysis
卸重分析
unweighting study
卸重研究
unweighting design
卸重设计
the algorithm involves unweighting the less important features.
算法涉及取消重要特征的权重。
unweighting the biased nodes improved the network's accuracy.
取消有偏差节点的权重提高了网络的准确性。
we are exploring unweighting the connections to reduce complexity.
我们正在探索取消连接的权重以减少复杂性。
the process of unweighting data can be computationally expensive.
取消数据权重的过程可能计算成本很高。
unweighting the irrelevant variables is crucial for model simplification.
取消不相关变量的权重对于简化模型至关重要。
the goal is to achieve unweighting without losing significant information.
目标是在不丢失重要信息的情况下实现取消权重。
unweighting the edges can help in identifying key communities.
取消边的权重有助于识别关键社区。
we observed a performance boost after unweighting the redundant parameters.
在取消冗余参数后，我们观察到性能得到提升。
the system automatically performs unweighting based on the feedback.
系统根据反馈自动执行取消权重操作。
unweighting the less influential factors led to a more robust model.
取消不太有影响力的因素导致更强大的模型。
the research focuses on efficient methods for unweighting large datasets.
该研究侧重于取消大型数据集的权重的高效方法。
unweighting process
卸重过程
unweighting load
卸载重量
unweighting effect
卸重效果
unweighting system
卸重系统
unweighting mechanism
卸重机制
unweighting structure
卸重结构
unweighting stage
卸重阶段
unweighting analysis
卸重分析
unweighting study
卸重研究
unweighting design
卸重设计
the algorithm involves unweighting the less important features.
算法涉及取消重要特征的权重。
unweighting the biased nodes improved the network's accuracy.
取消有偏差节点的权重提高了网络的准确性。
we are exploring unweighting the connections to reduce complexity.
我们正在探索取消连接的权重以减少复杂性。
the process of unweighting data can be computationally expensive.
取消数据权重的过程可能计算成本很高。
unweighting the irrelevant variables is crucial for model simplification.
取消不相关变量的权重对于简化模型至关重要。
the goal is to achieve unweighting without losing significant information.
目标是在不丢失重要信息的情况下实现取消权重。
unweighting the edges can help in identifying key communities.
取消边的权重有助于识别关键社区。
we observed a performance boost after unweighting the redundant parameters.
在取消冗余参数后，我们观察到性能得到提升。
the system automatically performs unweighting based on the feedback.
系统根据反馈自动执行取消权重操作。
unweighting the less influential factors led to a more robust model.
取消不太有影响力的因素导致更强大的模型。
the research focuses on efficient methods for unweighting large datasets.
该研究侧重于取消大型数据集的权重的高效方法。
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