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Exact(6)
These methods compute a periodic interface with O Δt) accuracy, where Δt is the time step.
Filter methods compute a discrimination score of each feature independently of the other features based on the correlation between the feature and the label, e.g., information gain, Gini index, Relief [58, 59].
Spectral deferred correction methods compute a high-order approximation to the solution of a differential equation by using a simple, low-order numerical method to solve a series of correction equations, each of which increases the order of accuracy of the approximation.
Typically, such methods compute a statistic or a score for each feature such as chi squared or information gain.
The first class of methods compute a model that succinctly describes the sequence, and assess the similarity of the sequences by analyzing their compressed representations, e.g., Kolomogorov complexity [ 11] or Universal Sequence Maps [ 12].
The neighbor-based methods compute a threshold for each pixel based on the statistics of the arrangement, i.e., the variance of its neighborhood region.
Similar(54)
The other two methods compute an average distance that is very high compared to our method.
Each t-method computes a t value, respectively, a t score for each assignment that resembles its certainty.
Opposed to that, the MEgPC method computes a good approximation of the density and of the first two moments.
This proposed parametric spectral ratio method computes a ratio spectrum of the linear prediction (LP) and the minimum variance distortion-less response (MVDR) methods.
The multi-moment-matching PMOR method computes a basis matrix V based on the series expansion of the state vector x in the frequency domain.
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