To suppress the effect of bad measurements on the estimation value of WLS or FDSE, the largest normal residual (LNR) test [1] or other BD identification approaches based on residual [6, 7] are always used to detect and identify any existing bad measurements, but these methods cannot effectively identify conforming bad measurements and leverage bad measurements [1].
Compared with traditional SE methods based on (2) (including MINP model), (8) is a MILP problem, thus it possesses the following advantages: ① the global optimal solution can be guaranteed mathematically; ② there is no convergence problem for (8); ③ it can effectively suppress bad measurements (including leverage bad measurements), which will be proved by the tests in the next section.
Furthermore, we leverage the measurement results to set forth a number of key principles for the design of a successful unstructured P2P overlay.
Recently the company leveraged its measurement technologies to enter the land-surveying and construction markets.
Since it is not susceptible to leverage bad measurements, this approach shows strong robustness even in pathological cases.
In particular, we leverage compressive measurements to faithfully embed the cluster geometry and preserve the probabilistic dynamics.
Reference [21] points out that MINP is not susceptible to leverage bad measurements and it shows strong robustness even in pathological cases.
Future translation may benefit from mechanistic or systems-based models that leverage preclinical measurements in immune-competent models to derive model structures and parameters that can be adapted to the human context.
We introduce a new method for PGS, termed 'parental support', which leverages microarray measurements from parental DNA to 'clean' single-cell microarray measurements on embryonic cells and explicitly computes confidence in each copy number call.
However, for practical cases other alternative approaches, such as the m-dB and probability of false alarm (PFA) criterion, are considered leveraging real measurements for γ-selection [1].
