运用经典的贝叶斯决策方法将预抓取物体进行基本的三类抓、握、捏抓取模式分类。
The classical Bayes method is used in the classification of pre-grasp of multiple fingers based on three patterns which are grasping, holding and pinching.
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。
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.
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。
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.
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