1.
Small Sample Incremental Biased Learning Algorithm for Sketch Retrieval
面向草图检索的小样本增量有偏学习算法
2.
An incremental learning algorithm for multi-class sample
实现兼类样本类增量学习的一种算法
3.
A Minimum-Distance Classifier with Incremental Learning Capacity;
具有增量学习能力的最小距离分类器
4.
An Algorithm for Representative Sampling Based on Incremental Learning;
一种基于增量学习的典型样本选取方法
5.
Is it possible for an estimator to be biased in finite sample but consistent in large sample?
一个估计量是否有可能在有限样本中是有偏的但又具有一致性？
6.
If time permits, we may read a mini Chinese-English dictionary carefully from cover to cover, which may help us widen our vocabulary.
如果时间允许，通读小小汉英词典对于英语学习也有很大帮助。它能帮助我们增加词汇量。
7.
Modified Incremental Learning Based on Criteria for the Minimal Recalculation
修正的最小重新计算标准的增量式学习算法
8.
The sample size would have to be quadrupled.
样本量必须增大三倍。
9.
Partitioning machine learning sample set using similarity to mean vector
基于均矢量相似性的机器学习样本集划分
10.
The Error of that Japanese Students Use“dui” “gei”;
日本学生学习汉语介词“对”、“给”的偏误
11.
Analysis of the Mistakes Made by Japanese Students in their Learning of Passive Expressions;
日本留学生学习被动表述的偏误分析
12.
Error Analysis Made by Uygur Students in Learning Chinese Quantifiers;
维吾尔族学生学习汉语量词偏误分析
13.
Support Vector Machine (SVM) , which based on Statistic Learning Theory, has the adaptive generation ability.
建立在统计学习理论基础之上的支持向量机具有和样本数相适应的最优泛化能力。
14.
An Error Analysis of Japanese Students Learning of the Le-sentence;
日本学生汉语“了”字句习得偏误分析
15.
Analyses of Japanese Students Chinese Tones Acquisition and Error;
日本留学生汉语声调习得及偏误分析
16.
Use an offset greater than0 to increase brightness and a value less than0 to reduce brightness.
使用大于0的偏移量增加亮度，小于0的偏移量减少亮度。
17.
Incremental Unknowns and Wavelet-like Incremental Unknowns Methods Applied in PDEs
应用于偏微分方程的增量未知元和类小波增量未知元方法
18.
Cost forecast model for power engineering based on feature extraction and small-sample learning
特征提取和小样本学习的电力工程造价预测模型