Sentence examples for example by computing from inspiring English sources

However, feature selection algorithms usually require a calculation of redundancy measures, for example, by computing correlations of a feature's values across samples [9].

More insight into the ranking of these methods could be obtained by studying the theoretical bounds for their performances, for example by computing their performances using the correct centers of the clusters and covariance matrices used to generate the training data.

The spectrum of eigenvalues could now be analyzed statistically to find those components that significantly differ from unity, for example by computing the distribution of eigenvalues for temporally shuffled spike trains (Rust et al. 2005; Schwartz et al. 2006).

Once participants were sampled, their exposure could then be defined more precisely on an individual basis, for example, by computing the road network distance between their individual address and the nearest access point to the new infrastructure or by plotting the locations of their individual home and work addresses and identifying desire lines for commuting journeys at the individual level.

39 40 41 This method is often used to estimate the impact of a policy (for example, health reform) on an outcome (for example, readmissions) by computing a double difference.

To illustrate it we use a standard literature example (the Brussellator), where, by computing only the first two solution branches, we accurately predict the steady-state bifurcation structure reported up to much larger system lengths.

The performance of the method is investigated by computing several examples and error estimates of the approximation are stated.

33 Practice characteristics also varied by computing system, for example: practices using Synergy tended to be larger than average, and practices in more deprived areas favoured PCS.

For example, when comparing two DNA segments, it is frequently useful to start by computing their Hamming distance.

Then we can quantify a new set of cell images by computing the graph transition energy between the set and training examples in the transformed feature space.

Theoretically, in order to enable industrial application, the time consumption of samples update and thousands of BPNNs re-training could be reduced to an acceptable level, few minutes for example, by configuring sufficient computing resources based on the scalable Hadoop framework.