hyperplane

• When the increased data are learned , the data , which belong to bok but near by the hyperplane , play an important role in the changing of the new hyperplane . and the change focuses in the local area of the increased data . based on the above two ideas , a improved incremental learning procedure is advanced and tested
  而且当新增加样本时， bok中那些在分类面边缘增加的数据对分类面的改变都起着重要的作用，而且更重要的是分类面大部分的变化集中在新增样本区域的周围，基于这种思想提出的方法区域增量svm学习算法在实验中也充分验证了以上两点改进。