• 使用模型优势在于可以独立存在模型

    The advantage of using sub models is that they can exist independently of the main model.

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  • 经不同年际独立试验数据检验,叶片碳氮比监测模型预测精确R20.6824,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.

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  • 本文实践引入受控电源模型入手,分析了受控电源特点,着重将受控电源独立电源作一比较,并讨论含受控电路计算方法

    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.

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  • 关系模型目的在于获得完全存取路径独立

    The universal relation model aims at achieving the complete access path independence.

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  • 克服搜索引擎查询速度慢、独立缺点,设计了一个元搜索引擎结果处理模型

    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.

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  • 结果表明:这个模型处理数据转换时具有相对独立,可SQL命令作为XM L文档标签建立数据库连接生成SQL命令整合中间件

    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.

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  • 朴素贝叶斯分类简单高效的分类模型然而条件独立假设现实中很少出现,致使性能有所下降。

    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.

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  • PITA模型支持对话独立界面自适应应用的可移植性任务的可控制性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.

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  • 车险定价常用模型广义线性模型模型建立重要假设索赔数据的相互独立

    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.

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  • 基于粗糙集理论CPA(注册会计师)审计独立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.

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  • 倘若条件独立假设确实满足,朴素贝叶斯分类器将会判别模型,譬如逻辑回归收敛得更快因此需要更少训练数据

    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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  • 倘若条件独立假设确实满足,朴素贝叶斯分类器将会判别模型,譬如逻辑回归收敛得更快因此需要更少训练数据

    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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