Sentence examples for growing window from inspiring English sources

The growing window strategy provides better results than a fixed-size sliding window (the winner system also relied on growing window), but the computational cost is normally also larger.

Growing window based on the delta Bayesian Information Criteria (∆BIC) distance has been used as a speaker segmentation algorithm.

We select the number of collective footprints as specified in the previous sections and around that selected (k^) we define a growing window of number of clusters.

This is strategy is hereby referred to as a growing window approach, since the data window continuously grows as it incorporates more sessions.

Subsequently, the speaker change detection employs a growing window approach[21] and the Bayesian information criterion (BIC) to measure the dissimilarity of two adjacent windows.

With nonincremental algorithms (UBSW/UBGW and IBSW/IBGW), the first observation is that the sliding window algorithms tend to maintain an approximately constant time to rebuild the matrix, while with growing window algorithms time increases throughout the experiment.

Standard deviation of the silhouette coefficients for number of clusters k in a growing window with respect to a selected number of clusters: (k=45) for UniCoop, (k=12) for Ta-Feng and (k=15) for T-Mall.

Comparing the sliding window algorithms with their growing window versions, it is clear that both user-based and item-based versions using growing windows (UBGW and IBGW) time to recalculate S grows super-linearly with the number of sessions.

As with the ELEARN dataset, growing window algorithms take increasingly more time to rebuild S while the sliding window algorithms tend to maintain the time required to rebuild S.

Our results suggest that non-incremental algorithms that use sliding windows, when compared to their nonforgetting versions using a growing window, reduce computational requirements while not negatively affecting and in some situations improving predictive ability.

With growing windows, at each session s i, all past sessions {s1,…,si−1} are used to build S.