女歌星
发表于 2025-3-25 06:55:47
http://reply.papertrans.cn/47/4627/462608/462608_21.png
剧毒
发表于 2025-3-25 08:07:19
http://reply.papertrans.cn/47/4627/462608/462608_22.png
骂人有污点
发表于 2025-3-25 13:09:38
Help Needed: (Im)practical Solutions and Research Gapsmine practical approaches to reducing infringements and implementation delays. If solutions are based on stringent analyses, then we might be able to use the insights. Second, we scrutinize implementation literature for systematic assessments of causes for good or bad implementation.
尾随
发表于 2025-3-25 18:36:53
Setting Up Research: Complicationsolutions or existing compilations of factors. As we have seen, current solutions are not based on extensive, tailored research, and there are no ready-to-use compilations of factors. Thus, this chapter answers the questions necessary to set up our own exploration of factors: what is the appropriate
colostrum
发表于 2025-3-25 21:53:22
An Alternative Approach: LeibnizSystemsh patterns differentiating two groups of successfully and unsuccessfully implemented directives and to correctly classify unseen records into the fitting group. The chapter focuses on foundations of the method, as it gives a short tour of logical expressions and the way they are combined to functio
Rebate
发表于 2025-3-26 00:30:32
http://reply.papertrans.cn/47/4627/462608/462608_26.png
CLAIM
发表于 2025-3-26 05:52:03
The ModelIt will also verify which of the two options - if any - is true: 1) . are truly different from the rest of the records, or 2) both the . and the . are truly different from the rest of the records. Having accomplished both, the chapter will then determine the most accurate model of the design phase.
fallible
发表于 2025-3-26 11:46:13
Interpretation of Resultsvariables of the design phase? LeibnizSystem offers no way to weight one variable as more important than others. However, there are several ways for us to find variables that are decisive for classification.
obligation
发表于 2025-3-26 16:36:53
Comparing Results to Regression Resultst by using factors from the design phase. We compare LeibnizSystem results to that of a binary logistic regression, and find that, in general, LeibnizSystem yields considerably better results than the regression. Therefore, the Low-Scenario remains the best model and our conclusions from the previou
补角
发表于 2025-3-26 17:26:07
http://reply.papertrans.cn/47/4627/462608/462608_30.png