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The model most similar to the histogram observed is the one that models the current observation, so increasing its weight.
The new research stands out because it offers a detailed window into how the Bayesian thought process works, showing the point when uncertainty becomes great enough to give past experience an edge over current observation.
and classify the current observation o n by (8).
At each position, the current observation window represents the reference patch.
This adaptation is based on the current observation of the spectrum usage by primary users.
In normal cases, the current observation from each sensor is independent of others.
Values of variables occurring prior to the current observation are named lag values.
We propose a method that constructs a linear approximation of the current observation vector from the simulated historic data, and measures the departure of the current observation vector by the length of the residual error vector.
It uses reinforcement to learn when to switch to an alternative representation method depending on the current observation.
A user computes the actual amount of data units that has received within his current observation timeinterval according to (7).
The third one is the observation independence assumption; that is, the current observation is statistically independent of previous observations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com