Sentence examples for Measure the discrepancy from inspiring English sources

In order to stabilize these types of systems in this contribution the use of a generalized distance measure, the discrepancy, is proposed.

We used the energetic yield in order to quantify the robustness of a protein, and to detect sensitive regions and sensitive residues in the protein, whereas we adopted the energetic relative entropy to measure the discrepancy between two potential energy distributions.

We will do this based on simulations and will measure the discrepancy using a symmetrized version of the Kullback-Leibler divergence (the so-called Jensen-Shannon divergence (JSdiv)).

We introduce another metric called the global variance of link (GVL) to measure the discrepancy among links, that is, how well nodes are uniformly distributed.

One common approach to anomaly detection makes use of unsupervised learning: we learn a baseline model of the phenomenon of interest, and then measure the discrepancy of subsequent data from the baseline.

Model evaluations were based on Χ2 statistics that measure the discrepancy between observed and model-implied covariance matrices.

The parameter estimation is derived from adequate objective functions measuring the discrepancy between the experimental and numerical modal data.

The performance of a network is quantitatively assessed through a cost function that measures the discrepancy between the extrapolation and the true concentration fields.

From the modal information extracted from two specimens with different geometries, the procedure allows the simultaneous estimation of the skin and core constitutive parameters through adequate objective functions measuring the discrepancy between the experimental data and the numerical predictions.

Three metrics that measured the quality of a pose estimate were evaluated and a joint classifier was constructed by combining the most discriminative quality metric with a fourth metric that measured the discrepancy between two independent pose estimates.

There are two natural densities associated with this problem: the discrepancy densityρH, given byρH= liminfr→1−inff⁡∫D 0,r)((1−|z|2)|f z)|−1)2dA(z)1−|z|2∫D(0,r dA z 1−|z|2 which measures the discrepancy in optimal approximation of (1−|z|2)−1 with the modulus of polynomials f, and its relative, the tight discrepancy densityρ⁎H, which will trivially satisfy ρH≤ρ⁎H.