Sentence examples for prediction implementation from inspiring English sources

Finally, we elaborate on additional theoretical and practical challenges of sequential spectrum occupancy prediction implementation.

The small result difference is mainly due to the fact that we use here different iteration numbers and also because the intra prediction implementation in HM 4.0, used by Jiang, presents some difference with that in HM14.0.

It has been successfully used for various parallel machine learning projects, e.g., Capuccini et al. [21] presents an MLlib-based distributed conformal prediction implementation for valid confidence estimation for large dataset problems and shows the validity and scalability of the algorithms using two large datasets.

We also used several other algorithmic implementations, including TMMOD, an HMM-based transmembrane protein prediction implementation [ 73], and TOPCONS, a consensus prediction tool of membrane protein topology [ 74].

These are due to uncertainties in log P prediction that are common among different prediction implementations when considering a broad range of substances with different (and many) functional groups and ionization behaviour.

The fullband spectrum estimation is a special form of the proposed subbands spectrum estimation method, and also gives rise to a novel two-channel prediction filter implementation.

Thus a deep understanding of these factors would facilitate disease prediction and implementation of timely measures for prevention of outbreaks.

To date, only two ICU focused metabolic model structures have been validated with respect to individual patient-specific predictions (for implementation and design) [23, 24, 39, 44, 46].

Figure 8 also shows the 95% confidence interval, indicating that, with 95% confidence, future predictions of implementation effort will lie within this interval, given that the model holds true. Figure 8 Validation data plot: relation between implementation effort (number of weeks) and complexity, corrected according to the designers' experience model.

To date, only two ICU focused metabolic model structures have been validated with respect to individual patient-specific predictions (for implementation and design) [ 23, 24, 39, 44, 46].

This study evaluated the factors affecting predictabilities for hybrid prediction and demonstrated the implementation of GS to predict hybrid performance of rice.