Sentence examples for problem of prediction from inspiring English sources

"problem of prediction" is correct and can be used in written English.
This phrase is typically used to describe the difficulties and uncertainties involved in making accurate predictions about future events or outcomes. Example: The problem of prediction in weather forecasting is a never-ending challenge for meteorologists due to the constantly changing and unpredictable nature of the atmosphere.

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The problem of prediction became appallingly clear in 1985, when the Colombian volcano Nevado del Ruiz exploded, the heat melting millions of tons of glacier and burying 25,000 people in a river of mud.

D. The problem of prediction vs. accommodation.

The problem of prediction of effective properties in some approximation can be solved involving only the averaging statistical descriptors.

The problem of prediction on feature models when the influence of features on configuration properties depends on the states of other features has been studied in (Siegmund et al. 2013).

The BP neural network is a multi-layer feed forward feedback network in one-way transmission, which includes performances like self-learning, self-organization and self-adaption, and it is widely used in multifactorial, nonlinear and uncertain problem of prediction and evaluation.

The problem of prediction of poly(A) signals has received considerable attention.

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Please also refer to these papers for discussions of the hurdles to be overcome, including the ones that I mention (the lack of a basic cell, the problems of prediction) towards the end of the article.

Thus, neural networks are usually used in the complicated problems of prediction, because they minimize the analysis and modelling stages and the resolution time.

We illustrate a few paradigmatic methods applied to problems of prediction, classification and smoothing, giving emphasis to the key ideas Object Oriented Spatial Statistics relies upon.

Nate conflates problems of prediction in the realm of human behavior -- where there are no fundamental governing 'laws' and any "predictions" are potentially laden with subjective and untestable assumptions -- with problems such as climate change, which are governed by laws of physics, like the greenhouse effect, that are true whether or not you choose to believe them.

In this paper, the problem of congestion prediction is translated to the prediction of traffic amount (i.e. the number of vehicles) on a road link, as high traffic amount is a straightforward indicator of congestion.

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