Unverified50% confidenceFactExact time
PaperToProfit uses a threshold of |Z| > 1.6 to flag anomalous fluctuations and generate stock-up recommendations.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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UnverifiedConfidence thresholds should be adjusted dynamically based on the online manual correction rate—if the manual rejection rate for a certain type of field remains high, it indicates the threshold is too loose and needs to be tightened.58% similarUnverifiedThe paper's current experiments are limited to steady-state problems and coarse meshes (about 4,900 vertices), and scalability to transient problems and large-scale meshes has not yet been verified.57% similarUnverifiedThe researchers proposed a heteroscedasticity-aware extension of quantile loss, whose core approach is to use input-dependent label smoothing as a mitigation measure.57% similarUnverifiedThe paper establishes non-asymptotic, high-probability upper bounds for the convergence of empirical occupation measures to the invariant measure, under the contraction assumption in kernel-induced geometry and the standard spectral gap assumption.55% similarUnverified数据增强、标签平滑、适度的权重衰减等技术可以有效压平插值阈值附近的误差尖峰55% similar
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