The false positive and false negative rates are improved using user feedback on the misclassified information with incremental learning to dynamically adjust the rule weights.

 
  • 增加用戶(hù)與服務(wù)器間的交互,收集用戶(hù)反饋的錯判信息,根據反饋信息用增量學(xué)習動(dòng)態(tài)調整規則權重。
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