Research on Bayesian decision theory based relevance feedback mechanism.
研究了基于贝叶斯理论的相关反馈方法。
Bayesian decision theory as part of the modern inductive logic has had a great influence on the development of inductive logic.
贝叶斯决策理论是主观贝叶斯派归纳理论的重要组成部分。
For example, we construct GPS and PPSP for phosphorylation site prediction, based on GPS and Bayesian Decision Theory algorithms, respectively.
例如，我们使用GPS和贝叶斯决策理论算法，分别构建了预测蛋白质磷酸化位点的GPS和PP SP网站。
Discussed the deficiency in face detection of BP neural network which was single used, and put forward a re-decision method by Bayesian decision.
讨论了单纯使用BP神经网络作人脸的检测判定的不足，并在此基础上提出利用贝叶斯决策对神经网络的仿真结果进行第二次判定的方法。
Up to now, the decision tree method is used to find the optimal solution of a Bayesian decision problem, that is, to select an optimal one from several decision alternatives.
决策树方法一直被用于贝叶斯决策问题的最优方案选择，即从若干决策方案中选择一个最优方案。
Through the analysis of the composite base price and the introduction to the Bayesian decision, the Bayes theorem is led into determining the quoted price with the composite base price.
通过对复合标底特点的分析和对贝叶斯决策的介绍，将贝叶斯决策理论引入确定复合标底的报价之中。
Concerning the difficulties in part-of-speech tagging in English present participle, the authors analyzed the drawbacks of Hidden Markov Models (HMM) and proposed Bayesian decision tree model.
针对英文现在分词词性标注这一特定问题存在的难点分析了隐马尔可夫模型(HMM)的不足，提出了贝叶斯决策树模型。
Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。
Under the law of maximum shoddy probability, it will have more practical significance for the probabilistic analysis of degree of compaction to use decision analysis and Bayesian method.
在最大次品率准则下，应用了决策分析和贝叶斯方法，从而使本文的分析研究更具实际意义。
Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.
贝叶斯学习是一种基于已知的概率分布和观察到的数据进行推理，做出最优决策的概率手段。
For the life data X in a life test, the Bayesian stopping rule and decision rule for the problem of testing fuzzy statistical hypotheses is given in this paper.
在试验过程中，贝叶斯停止法则由最优截断时间确定，贝叶斯判决法则由判决风险决定。
The new algorithm combines the merit of decision tree induction method and naive Bayesian method. It retains the good interpretability of decision tree and has good incremental learning ability.
该算法综合了决策树方法和贝叶斯方法的优点，既有良好的可解释性，又有良好的增量学习能力。
Bayesian reasoning is a traditional thesis in cognitive psychology, and a lot of judgment and decision making in our lives can use this method.
贝叶斯推理是认知心理学的一个传统论题，人们生活中的许多推断和决策也往往都与贝叶斯推理有关。
This is just what cannot be done in classical statistics. The application of Bayesian estimation to decision making will be more profitable, if business forecasting is available.
贝叶斯估计值在决策方面的应用，需要有经济预测资料，这样才使决策选定的方案在实践中能够取得最大的经济效益。
Results We demonstrate that the Bayesian information criterion and decision theory are the most appropriate model-selection criteria because of their high accuracy and precision.
另外，结果显示：对于同样的数据不同的选择标准经常选择出不同的最优模型；
The distribution of individuals' behavior in different decision-turns doesn't have significant differences, and they are only able to do the Bayesian calculation in one step simply.
处于前后不同决策顺序位置的个体行动选择的分布没有显著差异，他们只能简单地进行一步贝叶斯推断。
The distribution of individuals' behavior in different decision-turns doesn't have significant differences, and they are only able to do the Bayesian calculation in one step simply.
处于前后不同决策顺序位置的个体行动选择的分布没有显著差异，他们只能简单地进行一步贝叶斯推断。
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