Examples of using Prediction error in English and their translations into Chinese
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This could cause prediction errors.
Prediction error can occur due to any one of these two or both components.
预测误差可能会由这两者或两者中的任何一个造成。Accurately Measuring Model Prediction Error.
准确评估模型预测误差。Prediction error can occur due to any one of these two or both components.
预测错误可能会由这两个分量或者这两个中的任何一个造成。This mechanism is known as“prediction error.”.
这种机制被称为“预测错误”。These prediction errors, researchers say, help animals update their future expectations and drive decision-making.
研究者们认为，这些预测误差帮助动物更新未来的预期，并驱动它们的决策。Averages mask nonlinearity and lead to prediction errors.
平均值掩盖了非线性关系，导致预测错误。These prediction errors, researchers say, help animals update their future expectations and drive decision-making.
研究人员表示，这些预测误差可以帮助动物对未来预期进行修正，并推动它们的决策。But we should not make fun of Marx's well-known prediction error.
但我们不应该哂笑马克思的著名的错误预言。Craske utilizes prediction error learning to explain the effects of exposure therapy and attempts to optimize such learning.
Craske利用预测错误学习来解释暴露疗法的效果，并试图优化这种学习。Both bias and variance are forms of prediction error in machine learning.
偏差和方差都是机器学习中预测误差的两种形式。Free energy, as Friston defined it,was roughly equivalent to what Clark called prediction error;
弗里斯顿所谓的“自由能量”大约等同于克拉克所谓的预测偏差；.Friston believed that minimizing prediction error- roughly the same as minimizing free energy- caused the body to act.
弗里斯顿相信，将预测偏差最小化--大约等同于将自由能量最小化--导致身体产生了动作。The output layer has a loss function similar to the classification cross entropy,which is used to calculate the prediction error.
输出层具有类似分类交叉熵的损失函数，用于计算预测误差。Thus, boosting this simple very weak classifier reduces its prediction error rate by almost a factor of four.
因此，对这一简单的非常弱的分类器进行boosting，其预测误差率可以几乎降低四分之一。And we provide the prediction error of the forward dynamics model to the agent as an intrinsic reward to encourage its curiosity.
并且我们向智能体提供前向动态模型的预测误差，作为鼓励其好奇心的内在奖励。Let's take an example image and apply a perturbation,or a slight modification, so that the prediction error is maximized.
让我们有一个图像作为例子，并应用一个摄动干扰，或稍作修改，使预测误差最大化。Step 2- If there is any prediction error caused by first base learning algorithm, then we pay higher weight to observations having prediction error.
步骤2：如果存在由第一个基础学习算法引起的任何预测误差，则我们更加注意具有预测误差的观测。According to the most popular modern Bayesian account,the brain is an“inference engine” that seeks to minimize“prediction error.”.
根据最流行的现代贝叶斯理论，大脑就是寻求最小化“预测误差”的“推理引擎”。Both parameters are updated according to prediction error, thus implementing weight noise injections that reflect a local history of prediction error and efficient model averaging.
这两个参数都会根据预测误差而更新，从而实现了反映预测误差局部历史的权值噪声注入和高效的模型平均。Free energy, as Friston[he most-cited neuroscientist in the world] defined it,was roughly equivalent to what Clark called prediction error;
弗里斯顿所谓的“自由能量”大约等同于克拉克所谓的预测偏差；.Dopamine- commonly known as the brain's pleasure signal-has often been thought of as analogous to the reward prediction error signal used in AI reinforcement learning algorithms.
多巴胺--通常被称为大脑的愉悦因子--被认为与AI强化学习算法中使用的奖励预测误差信号类似。According to the most popular modern Bayesian account,the brain is an“inference engine” that seeks to minimize“prediction error.”.
在最流行的现代贝叶斯模型中，大脑像个“推理引擎”，目的是较大限度减少“预测误差”。Dopamine- commonly known as the brain's pleasure signal-has often been thought of as analogous to the reward prediction error signal used in AI reinforcement learning algorithms.
多巴胺是人们所熟悉的大脑快乐信号，通常被认为是AI强化学习算法中使用的奖励预测误差信号的类比。According to the most popular modern Bayesian account,the brain is an“inference engine” that seeks to minimize“prediction error.”.
根据时下最流行的贝叶斯算法，大脑可看作是一种旨在最大限度地减少“预测误差”的“推理引擎”。And indeed, Friston regards the Bayesian model as a foundation of the free energy principle(“free energy”is even a rough synonym for“prediction error”).
事实上，弗里斯顿认为贝叶斯模型是自由能量原理的基础，“自由能量”大体等同于“预测误差”。We can cause the network to misclassify an image by applying a certain imperceptible perturbation,which is found by maximizing the network's prediction error.
我们可以通过加入一些几乎不可观察的微扰让网络错误分类一张图像，这是通过最大化网络预测误差发现的。
