使用子模型的优势在于它可以独立地存在主模型。
The advantage of using sub models is that they can exist independently of the main model.
经不同年际独立试验数据的检验,叶片碳氮比监测模型的预测精确R2为0.6824,根均方差(RMSE)为0.4052。
Testing of the monitoring models with independent dataset indicated that the predictive precision (R2 ) was 0.6824, and RMSE was 0.4052.
本文由实践引入受控电源的模型入手,分析了受控电源的特点,着重将受控电源与独立电源作一比较,并讨论含受控源电路的计算方法。
In this paper, by means of the model of the controlled source, the characteristic and computational method of the circuit tor the controlled source are discussed.
泛关系模型的目的在于获得完全的存取路径独立性。
The universal relation model aims at achieving the complete access path independence.
为克服元搜索引擎查询速度慢、独立性差的缺点,设计了一个元搜索引擎的结果处理模型。
A processing model for the query results obtained by meta-search engines is presented to overcome the low query speed and bad independence of meta-search engines.
结果表明:这个模型在处理数据转换时具有相对独立性,可将SQL命令作为XM L文档的标签,并将建立数据库连接和生成SQL命令整合在中间件中。
This model has relatively independency in dealing with data transition, using SQL command as label in XML document and integrating database connection and SQL command building in the middleware.
朴素贝叶斯分类是一种简单而高效的分类模型,然而条件独立性假设在现实中很少出现,致使其性能有所下降。
Naive Bayes classification is a kind of simple and effective classification model. However, the performance of this model may be poor due to the assumption on the condition independence.
PITA模型支持对话独立性、界面自适应、应用的可移植性、任务的可控制性并能给用户及时的反馈。
PITA model supports dialogue independence, adaptive interfaces, application portability, controlled task and give user immediate feedback.
在车险定价中常用的模型是广义线性模型,该模型建立的一个重要假设是索赔数据的相互独立性。
The commonly used auto insurance pricing model is the generalized linear model. This model is built on an important assumption that the claims data must be independent.
基于粗糙集理论的CPA(注册会计师)审计独立性风险评价模型,旨在解决财务报表保险 制度运作过程中的招投标管理问题。
The evaluation model of the CPA audit independence risk is to solve the bid management in the process of the Financial Statement Insurance.
倘若条件独立性假设确实满足,朴素贝叶斯分类器将会比判别模型,譬如逻辑回归收敛得更快,因此你只需要更少的训练数据。
If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.
倘若条件独立性假设确实满足,朴素贝叶斯分类器将会比判别模型,譬如逻辑回归收敛得更快,因此你只需要更少的训练数据。
If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.
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