Cross-cultural awareness is one of the basic requirements for interpreters when they participate in intercultural communications, which is a particular way of thinking, a criterion for judgment or an acute sensitivity...Cross-cultural awareness is one of the basic requirements for interpreters when they participate in intercultural communications, which is a particular way of thinking, a criterion for judgment or an acute sensitivity to be cultivated by the interpreters. Interpreters should remain aware of the possible cultural differences and conduct cultural mediating accordingly in interpretation.展开更多
The use of prediction error to optimize the number of splitting rules in a tree model does not control the probability of the emergence of splitting rules with a predictor that has no functional relationship with the ...The use of prediction error to optimize the number of splitting rules in a tree model does not control the probability of the emergence of splitting rules with a predictor that has no functional relationship with the target variable. To solve this problem, a new optimization method is proposed. Using this method, the probability that the predictors used in splitting rules in the optimized tree model have no functional relationships with the target variable is confined to less than 0.05. It is fairly convincing that the tree model given by the new method represents knowledge contained in the data.展开更多
文摘Cross-cultural awareness is one of the basic requirements for interpreters when they participate in intercultural communications, which is a particular way of thinking, a criterion for judgment or an acute sensitivity to be cultivated by the interpreters. Interpreters should remain aware of the possible cultural differences and conduct cultural mediating accordingly in interpretation.
文摘The use of prediction error to optimize the number of splitting rules in a tree model does not control the probability of the emergence of splitting rules with a predictor that has no functional relationship with the target variable. To solve this problem, a new optimization method is proposed. Using this method, the probability that the predictors used in splitting rules in the optimized tree model have no functional relationships with the target variable is confined to less than 0.05. It is fairly convincing that the tree model given by the new method represents knowledge contained in the data.
基金the financial supports from the National Natural Science Foundation of China (No. 52104109)the National Key Research and Development Program of China (No. 2020YFC1909801)。
基金Project(51778540) supported by the National Natural Science Foundation of ChinaProject(2019YFC0605104) supported by the National Key R&D Program of China。