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The modeling algorithm is divided into three processes: training, generalization, and operation.
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The LS-SVM employs a machine learning software package known for its quick operation, strong generalization, and ability to solve various practical problems, such as those involving small sample sizes, over-fitting, and high dimensions [21 23].
Externalization activities can be classified into two groups according to the repetitiveness in the target operations: abstraction for operations that are not repetitive and generalization for operations that are repetitive.
However, it should be noted that our conclusion on predictive capabilities of the models is valid just for studied oil well and generalization of findings to another well with different fluid characteristics and operation conditions must be avoided.
A natural and intuitive generalization of this operation to the th-order is called the lag-product and can be expressed as [9]: (9).
100% irrigation infrastructure and operation.
It's a preposterous generalization, and not just because the measurement in question is so minute.
Specifically we present algorithms for precondition generalization, order generalization, and possible correctness generalization of POPI plans.
Techniques include extreme-cases reasoning, dimensional analysis, successive approximation, discretization, generalization, and pictorial analysis.
This flexibility is called generalization, and it's important for robots that must interact with the real world.
This is a damaging, sweeping generalization, and I'm living proof as to why.
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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