Sentence examples for important coefficients to from inspiring English sources

The LASSO method maximizes the log-likelihood of the model, while applying constraints on the sum of the absolute values of the coefficients– shrinking the less important coefficients to zero [ 18].

In the results of conventional wavelet domain denoising methods, ringing artifacts or wavelet-shaped noises are sometimes observed due to thresholding of small but important coefficients or due to generation of large coefficients in flat areas.

Meanwhile, larger CS rates used at more important DWT levels guarantee that these important coefficients are still likely to be received at a user's side even with a large packet loss ratio so that the reconstruction quality remains quite acceptable.

The high-frequency is scanned for important coefficients using spatial direction tree similar to SPIHT algorithm and processed with universal trellis coded quantization.

The main idea of our work is to apply the nonlocal means filtering to scaling and wavelet coefficients of an image to keep small but important coefficients which might have been shrunk in conventional wavelet denoising.

Strongly recommend to read chapter 3, Linear Methods for Regression: In astronomy, there are so many important coefficients from regression models, from Hubble constant to absorption correction (temperature and magnitude conversion is another example. It seems that these relations can be only explained via OLS (ordinary least square) with the homogeneous error assumption.

Research model with important coefficients.

This post-compression rate-distortion optimization algorithm selects the most important coefficients by weighting them, based on the mean square error (MSE) distortion measurement.

Secondly, more important coefficients should occupy a higher percentage in each packet so that the reconstructed quality would still be acceptable even with the low-quality users who only receive a small number of packets.

The Euclidean distance among important coefficient can be expanded to improving quantification gain.

In interpreting our statistics, it is important not to apply our coefficients to the relationship between lead and achievement at the individual level - we are accounting for the variation in rates for counties, not individual achievement scores for children.