LATENT 英语是什么意思 - 英语翻译

• latent

在 中文 中使用 Latent 的示例及其翻译为 英语

Latentlogic表示，其团队将留在牛津。
The Latent Logic team will remain in Oxford.

Waymo收购LatentLogic，欲进一步增强模拟实力.
Waymo acquires Latent Logic to further strengthen simulation.

当通过解码器(decoder)时，latentface被重建。
When passed through a decoder, the latent face is then reconstructed.

该公司收购了位于牛津的英国AI初创公司LatentLogic。
The company bought British AI startup Latent Logic, which is based in Oxford.

根据网络架构的不同，latentface可能根本不像人脸。
Depending on the network architecture, the latent face might not look like a face at all.

Latentfaces基于每个网络在其训练过程中认为有意义的特定特征。
The latent faces are based on specific features that each network has deemed meaningful during its training process.

PLSA:概率潜在语义分析（ProbabilisticLatentSemanticAnalysis）.
Brain morphometry by probabilistic latent semantic analysis.

解码器B只用B的人脸来训练，但是所有的latentface都是由同一个编码器产生的。
The Decoder B is only trained with faces of B. However, all latent faces are produced by the same Encoder.

概率潜在语义分析（ProbabilisticLatentSemanticAnalysis，PLSA）.
Our model is similar to probabilistic latent semantic analysis(PISA).

一个流行的主题建模方法就是广为人知的LatentDirichletAllocation(LDA)。
One of the well-known topic models is Latent Dirichlet Allocation(IDA).

延迟是某个请求等待处理的持续时长，在此期间它处于休眠（latent）状态，并等待服务【17】。
Latency is the duration that a request is waiting to be handled- during which it is latent, awaiting service[17].

一个流行的主题建模方法就是广为人知的LatentDirichletAllocation(LDA)。
The most common type of topic model is latent Dirichlet allocation(IDA).

许多情况下，这些模型利用某种形式或形状的自动编码框架来推断隐空间（latentspace）。
In many cases these models leverage the autoencoder framework in some shape or form for their inference over the latent space.

在这种情况下，“latentdynamicsmodel”是指从图像输入中学习并执行计划以收集新经验的模型。
In this context,'latent dynamics model' refers to a model that's learned from image inputs and performs planning to gather new experience.

自动生物识别系统借助专门的工作流程提高了效率，如金雅拓CABIS7.0UnknownLatent工作流程。
Automated Biometric Identification Systems provide improved efficiency with specialized workflows, such as the Gemalto CABIS 7.0 Unknown Latent Workflow.

主题模型有两种：pLSA（ProbabilisticLatentSemanticAnalysis）和LDA（LatentDirichletAllocation）。
The customary topic models include PISA(Probabilistic Latent Semantic Analysis) and IDA(Latent Dirichlet Allocation).

我们在GOAT使用人工神经网络近似估算产品目录中最明显的视觉特性，即隐变异因子（latentfactorsofvariation）。
At GOAT, we use artificial neural networks to approximate the most-telling visual features from our product catalogue i.e. latent factors of variation.

更复杂的机器学习算法，像主题模型（TopicModels，LatentDirichletAllocation）可能需要完成更细粒度的分析。
More sophisticated machine learning algorithms such as Topic Models(Latent Dirichlet Allocation) may be needed to accomplish more granular analysis.

训练主题模型一般有pLSA(ProbabilisticLatentSemanticAnalysis)和LDA(LatentDirichletAllocation)等方法。
The customary topic models include PISA(Probabilistic Latent Semantic Analysis) and IDA(Latent Dirichlet Allocation).

因此，感染上HIV的患者必须终生接受抗逆转录病毒药物治疗，除非科学家们能够找出方法摧毁这种所谓的“潜伏性HIV病毒库（latentreservoir）”。
So patients infected with HIV must remain on antiretroviral therapy forever- unless scientists can figure out how to destroy this so-called"latent reservoir" of HIV.

下图是来自GrahamTaylor等人（2010）发表的论文DynamicalBinaryLatentVariableModelsfor3DHumanPoseTracking中的例子。
Below are examples from the paper Dynamical Binary Latent Variable Models for 3D Human Pose Tracking by Graham Taylor et al.(2010).

Probabilisticlatentsemanticanalysis(概率潜在语义分析，pLSA)是一种Topicmodel，在99年被ThomasHofmann提出。
Probabilistic Latent Semantic Analysis(PLSA) also called Latent Semantic Indexing, introduced in 1999 by Thomas Hofmann, was one of the early and popular topic models.

当时，许多用于预测连续空间的词表征的模型已经被研究了出来，其中包括隐含语义分析（LSA：LatentSemanticAnalysis）和隐狄利克雷分布（LDA：LatentDirichletAllocation）。
During this time, many models for estimating continuous representations of words have been developed, including Latent Semantic Analysis(LSA) and Latent Dirichlet Allocation(LDA).

LSA也被称为隐语义索引(latentsemanticindexing,LSI)，尽管严格地说它是指在持久索引(persistentindexes)中用于信息检索(informationretrieval)的目的。
LSA is also known as latent semantic indexing, LSI, though strictly that refers to its use in persistent indexes for information retrieval purposes.

LatentSemanticAnalysis(LSA)也被叫做LatentSemanticIndexing(LSI)，从字面上的意思理解就是通过分析文档去发现这些文档中潜在的意思和概念。
Latent Semantic Analysis(LSA), also known as Latent Semantic Indexing(LSI) literally means analyzing documents to find the underlying meaning or concepts of those documents.

潜在类别分析（latentclassanalysis，LCA），简称潜类分析，是结构方程建模的子集，用于在多变量分类数据中查找子类型。这些子类型称为“潜类”（latentclass）。
Latent class analysis(LCA) is a subset of structural equation modeling, used to find groups or subtypes of cases in multivariate categorical data. These subtypes are called"latent classes".