- 2024-10-10clock uncertainty和clock skew
首先查看一下两者的定义:1,时钟不确定性(ClockUncertainty):是指在给定时间点上,某个时钟信号可能存在的不确定性范围。它通常是由于信号传播延迟、设备响应时间、时钟抖动等导致的。这种不确定性关注的是在做出时间测量时,设备时间值的准确性和可靠性。uncertainty=jitter+skew。2
- 2024-10-07SciTech-Mathmatics-Probability+Statistics:Quantifing Uncertainty_统计分析: SciTech-Mathmatics-Probabilit
一般数学表示方法概率数学表示方法\(\large\begin{array}{rl}\\\bm{X}:&符合某种概率分布的Random\Variable(随机变量)\\\bm{x}:&\bm{rnorm},随机变量X的一个实例,,…\\\bm{f}:&\bm{pdf},\bm{dnorm},\text{ProbabilityDistributionFunction}\of\\text
- 2024-10-06SciTech-Mathmatics-Probability+Statistics:Quantifing Uncertainty_统计分析: SciTech-Mathmatics-Probabilit
一般数学表示方法概率数学表示方法\(\large\begin{array}{rl}\\\bm{X}:&符合某种概率分布的Random\Variable(随机变量)\\\bm{x}:&\bm{rnorm},随机变量X的一个实例,,…\\\bm{f}:&\bm{pdf},\bm{dnorm},\text{ProbabilityDistributionFunction}\of\\text
- 2024-09-20AI基础 L22 Uncertainty over Time I 时间的不确定性
TimeandUncertainty1TimeandUncertaintyStatesandObservations•discrete-timemodels:weviewtheworldasaseriesofsnapshotsortimeslices•thetimeinterval∆betweenslices,weassumetobethesameforeveryinterval•Xt:denotesthese
- 2024-09-18BayesianLSTM PawaritL 使用PyTorch中的贝叶斯LSTM进行能源消耗预测,贝叶斯神经网络仅尝试解释认知模型不确定性,并不一定解决不确定性
https://colab.research.google.com/github/PawaritL/BayesianLSTM/blob/master/Energy_Consumption_Predictions_with_Bayesian_LSTMs_in_PyTorch.ipynb#EnergyConsumptionPredictionswithBayesianLSTMsinPyTorchAuthor:PawaritLaosunthara内容:请点击上面的在Col
- 2024-09-17SciTech-Mathmatics-Probability+Statistics-V-Statistics:Quantifing Uncertainty+ANOVA(ANalysis Of VAri
SciTech-Mathmatics-Probability+Statistics-V-Statistics:QuantifingUncertaintyANOVA(ANalysisOfVAriance)方差分析原理方差分析的基本概念(AnalysisofVariance,ANOVA)方差分析(AnalysisofVariance,简称ANOVA)是一种统计方法,用于检验三个或更多组数据的均值是否存在显
- 2024-08-01数学运算的奇怪结果
看:A=11.531681447264651B=10.276344990825836C=0.11732116415316027D=10.7现在,尝试一下:A-B-C*D结果:6.661338147750939e-16为什么结果这么小?但是,让我们四舍五入:round(A,1)-round(B,1)-round(C,1)*round(D,1)结果:0.1
- 2024-06-05【大学物理实验】速通双语版
0首先,我们要学什么?outlook!1measurement2systemerror&randomerror3significantfigures4uncertaintyofdirectmeasurementandindirectmeasurement5dataprocessing1measurementImportantpointstoremember:1.Ameasurementwithoutunitismeaningless.2
- 2024-04-1152 Things: Number 9: What are Shannon's definitions of entropy and information?
52Things:Number9:WhatareShannon'sdefinitionsofentropyandinformation?52件事:数字9:香农对熵和信息的定义是什么?Thisisthelatestinaseriesofblogpoststoaddressthelistof'52ThingsEveryPhDStudentShouldKnowToDoCryptography':a
- 2024-03-08论文精读:关于不确定性校准的mixup陷阱(On the Pitfall of Mixup for Uncertainty Calibration)
背景Mixup(混合)定义对于一个样本\((x_i,y_i)\),将其与另一个样本\((x_j,y_j)\)混合:\[\begin{aligned}\tilde{x}_i&=\lambdax_i+(1-\lambda)x_j,\\\tilde{y}_i&=\lambday_i+(1-\lambda)y_j,\end{aligned}\tag{1}\]其中\(\lambda\)采样于Beta(α,α),α>0
- 2023-12-17offline RL | Pessimistic Bootstrapping (PBRL):在 Q 更新中惩罚 uncertainty,拉低 OOD Q value
论文题目:PessimisticBootstrappingforUncertainty-DrivenOfflineReinforcementLearning,ICLR2022,6688spotlight。pdf版本:https://arxiv.org/abs/2202.11566html版本:https://ar5iv.labs.arxiv.org/html/2202.11566openreview:https://openreview.net/forum?id=Y4c