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classification model

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computational or mathematical system that assigns items to predefined groups ... Afișați mai multe

Traducere "classification model" în chineză

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分类模型

分级模型

Research on automatic text classification model based on margin maximization

基于间隔最大化的自动文本分类模型

Builds a classification model that predicts the values of one column based on values in other columns in the model.

用于生成一个分类模型，它根据模型中其他列的值来预测某一列的值。

The reimbursement rates for the three classes of armoured personnel carriers were not calculated, as consensus was not reached on the classification model of armoured personnel carriers.

三个等级装甲运兵车的偿还标准未作计算，因为没有就装甲运兵车的分级模型达成一致意见。

Armoured personnel carrier classification model

装甲运兵车分级模型

To summarize our idea, as a first step, it is essential to suggest an approach that offers a classification model of intangibles that can then be used, for example, by information technology professionals.

简而言之，首先，必须提出一种关于无形资产分类模型的方法，比如可供信息技术专业人员使用的方法。

Target of classification is to find out a classification model. The model can map a single record in database to a pre-assumed class.

分类的目的是构造一个分类模型，该模型能把数据库中的数据项映射到某一个给定类别。

The method utilizes superpixel-boosted feature extraction techniques, as shown in FIGS. 5a-5c, to extract image features to build an image classification model 605.

该方法利用如图5a至图5c中所示的超像素推进型特征提取技术来提取用于建立图像分类模型605的图像特征。

In general, training a text classification model involves the following steps: Collecting and preparing a train dataset and a validation dataset, data cleaning and preprocessing, training the model, validating and evaluating the model, and tuning the model (which includes but is not limited to adding data, adjusting hyperparameters, and adjusting models).

训练一个文本分类模型的过程一般包括几个步骤：采集和准备训练数据集和验证数据的文本集，数据清洗和预处理预处理，在训练数据集上训练模型，在验证数据集上评估的指标，如果验证集上的指标不够好，则继续优化模型（包括添加新数据，调整参数，算法等）。

The task of smart Ponzi scheme detection is to predict whether a given smart contract is a ponzi scheme. To train the classification model, we manually check more than 3,000 smart contracts by reading their source codes. The user transcation data are also used to train the model.

智能合约庞氏骗局检测的目标就是对于指定的合约，预测其是否是庞氏骗局。为了训练一个分类模型，我们人工检查了超过3000个合约的源码，为其贴上是否为庞氏骗局的标签。同时，我们在训练中也将用户的交易数据作为特征输入模型。

One group of Member States supported the armoured personnel carrier classification model and worked on improving the model while maintaining the three classes of armoured personnel carriers.

有一组会员国表示支持装甲运兵车分级模型，并致力于在维持装甲运兵车三个等级的同时，对模型作出改进。

So with transfer learning, the task is to improve performance on Task B given a model trained for static Task A. A language model has all the capabilities that a classification model in CV would have in the context of NLP: it knows the language, understands hierarchical relationships, has control over long-term dependencies, and can perform sentiment analysis.

因此，有了迁移学习后，倘若模型面向静态任务 A 训练，它的任务就是提高任务 B 的性能。语言模型拥有 CV 中分类模型在 NLP 环境下拥有的所有功能：它了解语言、理解层次关系、能够控制长期相关性，还可进行情绪分析。

Building a question answering system, an image classification model, a Neural Turing Machine, or any other model is just as fast. The ideas behind deep learning are simple, so why should their implementation be painful?

构建一个问答系统，一个图像分类模型，一个神经图灵机，或者其他的任何模型，就是这么的快。深度学习背后的思想很简单，那么它们的实现又何必要那么痛苦呢？

Using multiple replicates of these genomes, we produced tens of millions of training examples in the form of multi-channel tensors encoding the HTS instrument data, and then trained a TensorFlow-based image classification model to identify the true genome sequence from the experimental data produced by the instruments.

使用这些基因组的多个重复，我们以编码 HTS 仪器数据的多通道张量形式生成了数千万个训练样本，然后训练基于 TensorFlow 的图像分类模型，以便从仪器生成的实验数据中识别出真实的基因组序列。