1.
induction variable expression analysis
归纳变量表达式分析
2.
On the Problem for the Inductive Inference──A Thought by the Law of the Transformation of Quantity into Quality and Vice Versa;
关于归纳推理的辩护问题——一种基于质量互变规律的思考
3.
On the Changes of Inductive Function as Seen from the Up-and-down History of Classic Inductive Methodology;
从经典归纳主义的兴衰历程看归纳法职能的演变
4.
Two notes about changes of inductive method;
关于数学归纳法变化类型的两个注记
5.
This is a conclusion which she has drawn from numerous facts.
这是她从大量事实中归纳出来的结论。
6.
Multivariate statistical techniques provide a means of identifying patterns of use of bank services that can be associated with certain respondent characteristics.
多变量统计技术提供了能够根据被调查的特征归纳出使用银行服务类型的方法。
7.
The conceptual nature and clinical utility of these Rorschach aggression variables as well as implications for future research are discussed.
因素分析发现,这些罗夏攻击变量可归纳为3个因子,这3个因子占总方差的76%。
8.
Inductions and Discussions of Solid State Phase Transformation of Titanium Alloy(Ⅳ)--Classifications of Heat Treatment of Titanium Alloy
钛合金固态相变的归纳与讨论(Ⅳ)——钛合金热处理的归类
9.
A Stepwise Regression--Autoregression Mathematical Model of Multiple Dependent Variables for Predication the Preperties of Water in X lake
X湖水质预测的多因变量逐步回归——自回归模型
10.
Network Traffic Analysis System Based on Data Reduction and Attribute-oriented Induction
基于数据归约和面向属性归纳的网络流量分析系统
11.
" Thought of the verse, image of the swan immortal bird becomes after the induction change.
”诗句之意念，鸿鹄仙鸟之意象经归纳变化而成。
12.
Looking at the evolution of the Western scientific philosophy from the induction s prosperity and declining;
从归纳法的兴衰看西方科学哲学的演变
13.
Knowledge hierarchical induction for injection mould repairs based on variable precision rough sets
基于变精度粗糙集的改模知识分层递阶归纳
14.
Firstly we conclude the evaluating standard system on software architecture quality.
首先归纳了软件体系结构质量的评价标准体系。
15.
We will reduce the large quantity of instrument readings to usable statistics.
我们将把大量仪表读数归纳成实用统计数字。
16.
Research on attribute-oriented induction based on quantitative extended concept lattice and multi-granule association rule mining
量化扩展概念格的属性归纳及多粒度规则挖掘
17.
Regression lnterpolation for missing data of target variable with two auxiliary variables
两个辅助变量下目标变量缺失数据的回归插补
18.
highly multicollinear regressor
高度多重共线性回归自变量