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The initialization and optimization problems of the model parameters are solved by using the K-mean clustering algorithm and the expectation maximization algorithm.
There is an extensive literature on the establishment of GRs, pointing out some of the inherent problems of the model as well as challenges to their implementation (Coldham 1982; Galaty 1994; Kimani et al. 1998; Bekure et al. 1991; Ngethe 1992; Peacock 1987).
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Wang et al. [100] also addresses the problems of the models generally faced when being defined in circuit level languages such as Verilog-A.
The problem of the model in its above-described form is that it requires many data points to estimate the retention function.
The problem of the model therein lies: how to differentiate between striatal responses associated with seeking, and striatal responses associated with impulsive and excessive binge eating.
It certainly exacerbates one of the problems of this model of leadership that competition becomes intensely personal.
Aiming at a difficult problem of the modeling and solving to the open domain of magnetic field, it is very important to reduce fact domain effectively.
Of course, that is not the problem of the young people - it is the problem of the models that we older people have established and the kinds of signals that we give from birth onward... and I am afraid that it is many of the readers and writers of this blog.
Some scholars studied dynamic problems of the business model innovation.
The problems of the functional model of states of affairs are manifest in the development of Frege's work.
To tackle the above problems of the SVM model, the algorithm proposed in this paper is optimized from three aspects.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com