Sentence examples for thresholds estimation from inspiring English sources

Based on VFxlogLMP algorithm, we proposed a continuous lp-norm algorithm with logarithmic cost (VFxlogCLMP), which does not need the parameter selection and thresholds estimation.

Compared with existing algorithms, the proposed algorithm needs neither the parameter selection and thresholds estimation nor the process of cost function selection and complex gradient computation.

Also the thresholds estimation was robust to different starting points.

All the simulations and the thresholds estimation were performed with the bnlearn package [34,35] for R [36], which implements several methods for structure learning, parameter estimation and inference on BNs (including the approach proposed in Section  2).

Hansen, B. Sample splitting and threshold estimation.

Hansen, B. E. Sample splitting and threshold estimation.

Different threshold estimation methods are reviewed and compared.

The results show that both methods for threshold estimation produce similar results.

In this paper we present A-BIRCH, an approach for automatic threshold estimation for the BIRCH clustering algorithm.

However, comparison of results shows that no particular benefit in intensity duration threshold estimation is obtained by using approaches that are more complex than the NN method.

Unfortunately, the threshold estimation may not be accurate due to co-channel interference (CCI) and adjacent-channel interference (ACI), especially with high traffic loads in dense networks.