Classifier Instance:

Anchor text: Poisson process
Target Entity: Poisson_process
Preceding Context: Models based on the Poisson process often respond to inputs from the environment in a manner that mimics the response of the system being modeled to those same inputs. The analytically tractable models that result yield both information about the system being modeled and the form of their solution. Even a queueing model based on the Poisson process that does a relatively poor job of mimicking detailed system performance can be useful. The fact that such models often give "worst-case" scenario evaluations appeals to system designers who prefer to include a safety factor in their designs. Also, the form of the solution of models based on the Poisson process often provides insight into the form of the solution to a queueing problem whose detailed behavior is poorly mimicked. As a result, queueing models are frequently modeled as
Succeeding Context: es through the use of the exponential distribution.
Paragraph Title: Role of Poisson process, exponential distributions
Source Page: Queueing theory

Ground Truth Types:

Predicted Types:

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