It could be concluded that 6-year-old children possess a separate naive theory of biology in terms of aging.
由研究结果可以推论，6岁儿童在衰老维度上具有了较稳定的朴素生物理论。
Some researches show that category structure or category representation is affected profoundly by prior knowledge and naive theory.
这方面的研究显示，已有知识和理论深刻地影响了类别结构和类别表征。
The results show that children make the prediction based on their naive theory and they are able to combine the horizontal and vertical motion positively.
结果表明，幼儿是根据自己的理论作出预测的，他们能在水平方向的运动和垂直方向的运动之间作出积极的“整合”，表现出极大的主动性。
The existence of naive psychology and naive physics had been recognized generally, but whether children had the naive theory of biology was still controversial.
朴素心理学和朴素物理学的存在已得到公认，但是儿童是否具有朴素生物学理论仍存在争议。
This is a naive reading of economic theory, because even rational economic agents can gain utility from acting honestly.
这说明你对经济理论的认识还很肤浅，因为，即使是理性的经济行为主体，也能从诚实行为中获得效用。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。
This theory was intended to deceive naive people.
这一理论旨在欺骗天真群众。
In this paper, we investigate enhancement to naive Bayes classifier using feature weighting technique based on rough set theory.
本文基于粗糙集理论探索特征加权技术对朴素贝叶斯分类器的改进。
Naive Bayes classifier is a simple and effective classification method based on probability theory, but its attribute independence assumption is often violated in the real world.
朴素贝叶斯分类器是一种简单而有效的概率分类方法，然而其属性独立性假设在现实世界中多数不能成立。
This case the motherland ancestor to material world's understanding at the beginning, one naive materialism "five lines theory", will unify in the design.
本案将华夏大地祖先对物质世界的认识之初，一种朴素唯物主义“五行论”，结合到设计中来。
This article introduced the theory of naive Bayes and discussed two popular models: multinomial model (MM) and Bernoulli model (BM) in details, implemented runnable code and performed some data tests.
本文详细介绍了朴素贝叶斯的基本原理，讨论了两种常见模型：多项式模型(MM)和伯努利模型(BM)，实现了可运行的代码，并进行了一些数据测试。
This article introduced the theory of naive Bayes and discussed two popular models: multinomial model (MM) and Bernoulli model (BM) in details, implemented runnable code and performed some data tests.
本文详细介绍了朴素贝叶斯的基本原理，讨论了两种常见模型：多项式模型(MM)和伯努利模型(BM)，实现了可运行的代码，并进行了一些数据测试。
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