What is the translation of " 稀疏数据 " in English?

sparse data
稀疏数据

Examples of using 稀疏数据 in Chinese and their translations into English

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计算机无法在稀疏数据中训练。
Computers cannot be trained on sparse data.
因此,他很适合于处理稀疏数据
For this reason, it is well-suited for dealing with sparse data.
MaxAbsScaler和maxabs_scale是专门为缩放稀疏数据设计的,并且这是被推荐的方法。
MaxAbsScaler and maxabs_scale were specifically designed for scaling sparse data, and are the recommended way to go about this.
回归和对数线性模型都可以用于稀疏数据,尽管它们的应用可能是受限的。
Regression and log-linear models can both be used on sparse data; however their application may be limited.
MaxAbsScaler并且maxabs_scale专门用于扩展稀疏数据,是推荐的解决方案。
MaxAbsScaler and maxabs_scale were specifically designed for scaling sparse data, and are the recommended way to go about this.
然而,要使用支持向量机来对稀疏数据作预测,它必须已经在这样的数据上拟合过了。
However, to use an SVM to make predictions for sparse data, it must have been fit on such data..
使用此缩放的动机包括对特征的非常小的标准偏差的容错性以及在稀疏数据中保留零条目。
The motivation to use this scaling include robustness to very small standard deviations of features andpreserving zero entries in sparse data.
然后,他们有学习机制,采取这些初步构建模块,并尝试从稀疏数据推断并创建因果理论。
Then they have learning mechanisms that take those initial building blocks andtry to make inferences from sparse data and create causal theories.”.
这种不确定性在高风险应用和处理小型稀疏数据时非常重要。
This type of uncertainty is important in high risk applications andwhen dealing with small and sparse data.
你基本上可以用同样的方法从任何稀疏数据中生成高质量的图像,”拉赞斯基说。
You can basically use the samemethodology to produce high-quality images from any sort of sparse data," Razansky says.
今天的计算机芯片并没有针对稀疏数据进行优化--事实上,反之亦然。
Today's computer chips are not optimized for sparse data-- in fact, the reverse is true.
今天的计算机芯片没有针对稀疏数据进行优化-事实上,情况恰恰相反。
Today's computer chips are not optimized for sparse data-- in fact, the reverse is true.
再者,它鼓励稀疏激活,更适合稀疏数据,使得模型更不会overfitting。
In addition, it encourages sparse activation, is ideal for sparse data, and makes the model less likely to be overfitted.
通常,具有较小固有维数的稀疏数据导致更快的查询时间。
In general, sparser data with a smaller intrinsic dimensionality leads to faster query times.
有关稀疏数据“匿名化”的更多信息,请参阅NarayananandShmatikov(2008)。
For more on“anonymization” of sparse data, see Narayanan and Shmatikov(2008).
内置支持以scipy.sparse支持的格式在任何矩阵中给出的稀疏数据
There is built-in support for sparse data given in any matrix in a format supported by scipy. sparse.
但仅在输入的是稀疏数据时才有效,因为每次更新仅修改所有参数的一小部分。
This only works if the input data is sparse, as each update will only modify a fraction of all parameters.
霍普金斯将其称之为“稀疏数据”,因为要找到感兴趣的东西,你必须涉及大量的不相关的数据。
Hopkins calls that“sparse data,” because to find something of interest you must wade through a lot of data that doesn't matter.
Hopkins称之为“稀疏数据”,因为要想找出真正有兴趣的东西,就必须在大量看似无关紧要的数据里去淘金。
Hopkins calls that“sparse data,” because to find something of interest you must wade through a lot of data that doesn't matter.
在语言模型的领域,网络被用在解决数据稀疏的问题。
In areas of language modeling,the Web has been used to address data sparseness.
这被称为数据稀疏问题,在NLP中是相当普遍的。
This is known as the sparse data problem, and is quite pervasive in NLP.
高维数据通常非常稀疏
(a) The data cube is usually very sparse.
稀疏或粗粒数据是数据分析中的另一个挑战。
Sparse or coarse-grained data is another challenge in data analytics.
重建使用细胞和突触组织原理从稀疏实验数据算法重建详细的解剖学和生理学。
The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy andphysiology from sparse experimental data.
Python教程-在给定稀疏矩阵数据的情况下,Python中计算余弦相似度最快的方法是什么?
What's the fastest way inPython to calculate cosine similarity given sparse matrix data?
讲座内容:数十年来,社会科学家通过利用通过观察和调查获得的稀疏数据集研究人们的社会行为。
Abstract: For decades, social scientists have beenstudying people's social behaviors by utilizing sparse datasets obtained by observations and surveys.
而且,它只需要提供一个非常稀疏的数据即可做到这一点。
And that it only really needs to be fed a very sparse amount of data to do that.
霍普金斯将其称为“稀疏的数据”因为要从中找到您企业所感兴趣的东西,必须通过很多彼此之间并无关联的数据。
Hopkins calls that"sparse data," because to find something of interest you must wade through a lot of data that doesn't matter.
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