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Unfortunately, limited by the number of shuffles that can be performed, the smallest obtainable P-value is bounded away from 0. The final group of GSA methods computes a score for each vocabulary term as a sum of the values (henceforth used interchangeably with weights) of the m entities it annotates.
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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].
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].
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.
For the skip RD cost, the proposed method computes a skip RD cost with a distortion of skip by: {{mathrm{RD}}_{L_{l,t}}}^S=1cdot {lambda}_K+{D_{L_{i,j}}}^S (14).
By setting the transmit and receive beamformers to some specific values, this method computes a bound on the principal singular value of H ω corresponding to the current antenna subset ω, and then iteratively updates ω until it converges.
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