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1  neutron diffraction experiments, as well as maximum entropy method.
2                            Analysis with the maximum entropy method also revealed information about t
3                  The fitting of the data and maximum entropy method analysis revealed a different pha
4 ecombination traces in conjunction with MEM (maximum entropy method) analysis of kinetic populations
5 lification, dimensionality reduction and the maximum entropy method, and we draw on examples from dif
6 correlation function were analyzed using the maximum entropy method as adapted to fluorescence correl
7                                        Using maximum entropy methods from statistical mechanics, we s
8                                          The maximum-entropy method is used to extract the distributi
9                                          The maximum entropy method (MEM) further chooses a unique mo
10                                          The maximum entropy method (MEM) has been used in many studi
11                                          The maximum entropy method (MEM) is used to numerically inve
12                                          The maximum entropy method (MEM) provides a robust and unbia
13          A hybrid analysis that combines the maximum entropy method (MEM) with nonlinear least square
14 t using both a multiple-component model with maximum entropy method (MEMFCS) and an anomalous model.
15                                          The maximum entropy method provides confidence measures that
16                                          The maximum entropy method revealed evidence of different di
17 d a modeling framework based on the Bayesian Maximum Entropy method that integrates monitoring data a
18                               The use of the maximum entropy method to analyze carbon monoxide (CO) r
19 ted dye using nonlinear least squares or the maximum entropy method to analyze the lifetime data.
20                                   We use the maximum entropy method to show-first using synthetic dat
21 hey run along a virtual linear track and use maximum entropy methods to approximate the distribution
22                           The application of maximum entropy methods to population codes has opened a
23         A regression procedure utilizing the maximum entropy method was developed to resolve alpha(D)
24                                      Using a maximum entropy method, we determined the minimum number
25  conventional nonlinear least-squares or the maximum entropy method, which allows for lifetime recove

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