2) frequency statistical tree
频率统计树
1.
Aiming at improving the performance of texts digitization system,with the characteristics of errors analyzed,an automatic proofreading method based on rules and statistics was proposed,making use of frequency statistical tree for error check model,segmentation information for interpunctions correction,Biao-Xing code and cache for correcting suggestions.
为了提高文本数字化系统的质量,针对该系统的错误特点,采用频率统计树构建查错模型,结合切分信息进行标点纠错,通过表形码和缓存集给出纠错建议,提出了规则与统计结合的自动纠错方法。
3) statistic decision tree
统计决策树
1.
First authors use a basic rule to identify a majority of the arguments,then find the weak spot of rule and use the statistic decision tree to construct the model including many attributes.
先用一条基本的规则识别出大部分的动词的论元,再找到规则识别的薄弱点,运用统计决策树融合多种特征构造模型,以进一步提高识别的准确率。
4) corpus statistics tree
语料统计树
1.
Analysis of the huge information data that searches through vertical search engine gives a new generation algorithm for professional information database,generation algorithm of professional information database based on corpus statistics tree.
通过对大量的使用垂直搜索引擎搜索到的信息数据进行分析,提出了一种新的专业信息库生成算法,即基于语料统计树的专业信息库生成算法(CSTA)。
5) IRSCT
互关联统计线索树(IRSCT)
6) BS-LQOHT
基于统计的等级树分层量化算法
补充资料：分布和特征量统计(见统计分析)
分布和特征量统计(见统计分析)
fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条