Number of children, parents and all edges were estimated by the SiGN-BN Bayesian network estimation program (http://sign.hgc.jp/signbn/index.html ) [ 76 ].
Next, we estimate the transmission time of this aggregated packet assuming that the previous network estimation (6) will be usable over the time interval.
For this purpose, we estimated a probabilistic network of relationships between these genes using a Bayesian network estimation program, SiGN-BN [ 9, 10], implemented on the supercomputer system at Human Genome Center, The Institute of Medical Science, The University of Tokyo [ 11].
In addition, another artificial neural network estimation approach with a single back-propagation network, called FAPSO-SBP, is also established.
This paper addresses the problem of distributed in-network estimation for a vector of interest, which is sparse in nature.
Our model can leverage the strength across multiple data platforms to improve the accuracy of network inference and differential network estimation.
A potential hazardous station was identified from the neural network estimation, which exhibited a significantly higher acceleration than that of the design value.
Regression analysis and artificial neural network estimation indicated that there are acceptable correlations between deformation modulus and coefficient of subgrade reaction and these parameters.
Regression analysis and artificial neural network estimation indicated strong correlations (R2 = 0.80 0.95) between the sieve analysis, Atterberg limits, maximum dry unit weight (MDD) and optimum moisture content (OMC).
Simulation results show that the MapReduce job response time could be decreased by 40.05%, thanks to Weighted Naive Bayes Classifier-based availability prediction and landmark-based network estimation.
