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Equivalently, a quantum property can be assigned, on the basis of the same initial data, probabilities of both 0 and 1.
A novel fast-match-search decompression algorithm is used to reconstruct all high-frequency matrices by computing all compressed data probabilities through a binary search algorithm to estimate the data from a look up table.
After fitting the four models for the cases with missing ancestry data, probabilities of predicted values of ancestry were calculated.
In the absence location-specific data, probabilities of death due to influenza were taken from a published economic evaluation of influenza vaccination in the European Union.
Based on MASS, 10-year data probabilities were estimated for each 3-monthly cycle, determining transitions between states in the model.
Initially, data were deleted randomly with missing data probabilities of 10%, 20%and30%0% applied equally to all questions on the Zung SDS.
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The count data probability distributions in the models were new to ecology.
These tests have been first used to indicate the discrepancy of the original (crude) insolation data probability distribution with respect to normal distribution.
In fold-in, test data probability distributions are computed using the P(w|z) value from the training phase as input.
In order to show the relationships between actuator constraints, unreliable communication link and mixed delay neural networks, by using Lyapunov functional approach, a missing data probability dependent exponential synchronization criterion is given.
For Sterolgene data, probability of type I error αS = 0.05 was used.
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