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 is a basic method of Statistical Pattern Recognition.
决策理论是统计模式识别中的一个基本方法。
The foundation of Bayesian decision theory is how to represent our values and beliefs.
贝叶斯决策理论的基础在于如何表达价值和信念。
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。
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；
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；
应用推荐