Sentence examples for source prediction from inspiring English sources

Two classifiers are built for two newly constructed views for the target data (denoted as f 1 and f 2) where f 1 is initialized to the source prediction function h and f 2 is initialized to 0. The predicted label is calculated as a function of these two views thus creating an ensemble classifier.

The scheme in [8] does not use source prediction, and it is therefore expected to perform worse than the proposed coder, which combines noise shaping with source prediction.

The proposed coder combined oversampling and noise shaping with source prediction.

This analysis is the basis upon which the concept of multicast source prediction is proposed, and upon which a multicast traffic model is built.

In addition, the stronger robustness and more reliable result can be obtained from the multi-source information fusion prediction in contrast with the single source prediction.

These methods utilize the unlabeled target instances during the training process and generally either infer their labels, align the source data (or source prediction function) to that of the target domain, incorporate them into the mapping process, or utilize them otherwise to represent the target domain.

To quantify distortion of the apparent radiation pattern from double-couple point source predictions, we simply calculated the cross-correlation coefficient (CCC) between the observation and theoretical amplitude fluctuations using moving hypocentral distance windows (40 70, 50 80, 60 90, 70 100, 80 110, 90 120, and 100 130 km).

In the four major award categories — album, record and song of the year, and best new artist — the most successful crowd-sourced prediction was by Shazam, the song-identifying app, which looked to how many times songs were "tagged" on the service.

The likelihoods that I will describe in this column over the next six weeks, through the February 24th awards ceremony, utilize three key sources: prediction markets, fundamental data, and, eventually, user-generated data.

Nevertheless, the FunSecKB and the FSD databases could complement each other as different data sources, prediction tools and data access utilities were implemented.

Comparison of estimated aboveground total live-tree C (8 single-source predictions) for the same trees produced a range that spanned 43% of our output range, whereas stem wood plus bark live-tree C (11 single-source estimates) yielded a range that covered 53% of ours.