伪相关 meaning in Chinese

spurious correlation

This method effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information , and also imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism
此外,选择聚类择优后的一类信息参与rocchio自适应学习与更新,能够有效地削弱阈值偏见性和伪相关反馈排序偏见性造成的负面影响。
For the user profile learning , this paper adopts an adaptive learning algorithm based on hierarchy clustering to update user profile . through the hierarchy clustering , we obtain several document classes , each class containing an indefinite number of documents . the most relevant class will be used to update the user profile
在用户模板学习方面,本文提出了一种基于层次聚类的自适应学习机制,通过对伪相关反馈信息进行聚类,选择最相关的一类信息用于更新用户模板,从而解决用户需求初始信息稀疏和阈值估计偏见性问题。