Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...
Among the most powerful tools we have as programmers—perhaps the most powerful tools—are functions. We’ve already seen some built-in Python functions, for example, print() and type(). We’ll see many ...
The trade-off between the security and efficiency of a lightweight crypto design is interlinked with the fine harnessing of entropy sources. Merging this source with a finite random sequence is an ...
Abstract: The deviation settlement mechanism (DSM) scheme enforces strict regulations on microgrid operators to comply with generation commitment norms set by grid operators. These norms are essential ...
I have a large and complex random forest that I can fit using rfsrc. I have 30000 observations for 90 explanatory and 1 Y variable that is class based. I am trying to get partial dependence plots for ...
Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...
ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...
The new Microsoft.Azure.Functions.Worker.ApplicationInsights preview package solves a lot of issues around using Application Insights in isolated worker function apps. 👍 One thing that still seems to ...
Linear functions are an important concept for students to understand in math class. They can be represented using tables, graphs or equations. Teachers can use various activities to teach students how ...
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