This is the first of two papers presenting and evaluating the power of a new framework for combinatorial optimization in graphical models, based on AND/OR search spaces.
The paper presents and evaluates the power of a new scheme that generates search heuristics mechanically for problems expressed using a set of functions or relations over a finite set of variables.
Using a simulation-based approach, we determined the optimal microsatellite marker number for accurate parentage assignment, and evaluated the power of the resulting partial pedigree to investigate important evolutionary and quantitative genetic characteristics of salmon in the system.
For the results presented above, we calculated a statistic for each SNP and evaluated the power to detect selection, with the null hypothesis of neutrality and the alternative hypothesis of strong positive selection acting on the SNP in question.
This is an effective method to determine the optimal design dimensions and evaluate the net power recovery ability of the designed TEG system.
In this study, we propose an unsteady analytical model to calculate the gas leakage mass flow rate by considering an oscillating flow in the annular clearance and to evaluate the power lost in both locations.
We applied this model to simulated sequence data in order to examine the ability of the method to estimate γ and to evaluate the power of the likelihood ratio test.
Extant IS literature relies almost exclusively on explanatory statistical modeling, where statistical inference is used to test and evaluate the explanatory power of underlying causal models, and predictive power is assumed to follow automatically from the explanatory model [1, 8].
From the obtained results, we aim to show how much hardware resources are used and evaluate the corresponding power consumption as well as the reconfiguration time.
Preliminary structured instruments have been developed to map potential risk factors, quantify the risk, and evaluate the predictive power for conversion prospectively (BPSS-P, EPIbipolar, BAR criteria) (Correll et al. 2014; Leopold et al. 2012; Bechdolf et al. 2012) and attempts are being made to identify reliable biomarkers (Duffy et al. 2014).
