What is the translation of " ITERATIVELY " in Chinese?

• 迭代地
• 反复
• 迭代
• 以迭代方式

Examples of using Iteratively in English and their translations into Chinese

Iteratively determines the best k center points(known as centroids).
以迭代方式确定最佳的k中心点（称为形心）。

Here, in this module, you will learn how a machine learning model iteratively reduces loss.
在本单元中，您将了解机器学习模型如何以迭代方式降低损失。

It iteratively processes data and compares the target value with the results to learn.
它迭代处理数据，并将目标值与结果进行比较以学习。

Not only can it optimize for model parameters, it can also iteratively make guesses about missing data.
它不但可以优化模型参数，还可以反复的对丢失数据进行猜测。

This should be performed iteratively and only introduce new requirements or services when needed.
应该以迭代方式执行此操作，而且仅在需要时引入新的需求或服务。

In some cases, where transparent elements are nested in each other, the process has to be applied iteratively.
在有些情况下，透明元素互相嵌套时，必须迭代地应用这个过程。

Then we iteratively add each child to its parents, or to the root array if no parent is found;
然后迭代地添加每个孩子到它的父母，或者如果没有找到父类，则添加到根数组：.

The advent of powerful computers allows mathematicians to iteratively calculate the positions of these black holes.
强大的计算机的出现使数学家能够反复计算这些黑洞的位置。

By iteratively calculating the loss and gradient for each batch, we will adjust the model during training.
通过迭代计算每批的损失和梯度，我们将在训练期间调整模型。

And new techniques like joint training, to iteratively boost English-to-Chinese and Chinese-to-English translation systems;
联合训练等新技术，以迭代促进英到中和中到英翻译系统；.

It iteratively makes one greedy choice after another, reducing each given problem into a smaller one.
I它迭代地做出一个又一个贪婪的选择，将每个给定的问题简化成一个更小的问题。

In his talk, Horgan will show how to iteratively build an AI-powered pipeline for Twitter sentiment analysis.
在他的演讲中，Horgan将展示如何迭代地为Twitter情感分析构建一个AI驱动的管道。

While the strategic goals have to be clear from the beginning, the requirements can be derived iteratively over time as in our example.
虽然战略目标必须从一开始就明确，但是如我们的案例所示，需求可以随着时间反复推导。

They iteratively make one greedy choice after another, reducing each given problem into a smaller one.
它迭代地做出一个又一个贪婪的选择，将每个给定的问题简化成一个更小的问题。

We maintain a dataset of trajectories that we iteratively add to, and we use this dataset to train our dynamics model.
我们维护一个反复添加的轨迹数据集，我们使用这个数据集来训练我们的动态模型。

Then it iteratively makes small, random changes to the network and proceeds to test it again using the same data.
然后对网络迭代地做小的、随机的变化，再使用相同的数据进行测试。

That can lead them to miss the opportunity to create value iteratively, or even a product recall, wasting everyone's time.
这可能导致他们错过迭代创造价值的机会，甚至会导致产品召回，浪费每个人的时间。

The original node iteratively queries nodes that are closer to the target infohash until it cannot find any closer nodes.
最初的节点重复地请求比目标infohash更近的节点，直到不能再找到更近的节点为止。

Modern software processes, also called methodologies, are all evolutionary in nature, requiring you to work both iteratively and incrementally.
现代软件过程，也称为方法学，在本质上都是演进的，要求你以迭代和增量的方式工作。

Steps 2 and 3 are repeated iteratively until convergence, where the distributions don't change much from iteration to iteration.
步骤2和3迭代地重复直到收敛，其中分布从迭代到迭代的变化不大。

With Random Forest however, learning may be slow(depending on the parameterization) and it is not possible to iteratively improve the generated models.
但随机森林的学习速度可能很慢（取决于参数化），而且不可能迭代地改进生成模型。

With this conditional interpretation it can then iteratively hypothesize multiple answers in order to arrive at the best, most accurate result.
通过这种条件解释，它就可以迭代地假设多个答案，以便得到最好的、最准确的结果。

Rapid prototyping and real-world tests with customers are used to quickly validate(or invalidate) early designs and iteratively improve the final product.
快速的原型设计和与客户的真实世界测试可用于快速验证（或取消验证）早期设计并迭代地改进最终产品。

The classifier is called by the boosting part iteratively and after each classification step, it changes the weights of misclassified examples.
分类器通过迭代部分调用，并且在每个分类步骤之后，它改变了错误分类示例的权重。

Iteratively refining the residuals instead of recomputing them gives performance gains of 2- 10 times over the reference R implementation(Hastie and Efron, 2004).
迭代地细化残差而不是重新计算它们，使得性能增益比参考R语言实现高了2~10倍之多（Hastie和Efron，2004年）。

Mean shift is a hill climbing algorithm which involves shifting this kernel iteratively to a higher density region on each step until convergence.
Mean-Shift是一种“爬山算法”，它涉及将这个核迭代地移动到每个步骤的较高密度区域，直到收敛。

It was iteratively improved over the next five years and applied to various revisions and extensions of the Web protocol standards.
它在随后的5年中以迭代的方式不断改进，并且被应用于各种Web协议标准的修订版和扩展之中。

By contrast, those working with individual open source offerings would need to iteratively download, configure, and test each software project they wanted to use.
与之相反，其他使用单独开源技术的公司需要反复下载、配置和测试他们要使用的每个软件项目。

Boosting: The Base Model is trained iteratively, each time modifying the weight of the training sample based on the prediction errors in the previous iteration.
Boosting：迭代地训练BaseModel，每次根据上一个迭代中预测错误的情况修改训练样本的权重。