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The model takes advantage of sample information from preceding time periods through an appropriate time series model and from other domains by modelling the correlation between the trend components of the time series models for the different domains.
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At the start of a series of investigations of different forms of the trace learning rule, Rolls and Milward (2000) demonstrated that VisNet's performance could be greatly enhanced with a modified Hebbian trace learning rule (Eq. 3) that incorporated a trace of activity from the preceding time steps, with no contribution from the activity being produced by the stimulus at the current time step.
This is evidenced from the significant correlation between percentage changes in the cardiac output from the preceding time point as measured by the PulseCO when compared to changes as measured by the LiDCO method (r2 0.46–0.76, p < 0.006).
In this new edition, we have highlighted the importance of digital filtering by separating the filter section from the preceding time series chapter.
If a laboratory value was missing, the value from the preceding time interval was used, if available.
If there was also no available value from a preceding time interval, the laboratory value was assumed to be normal, similar to prior studies [ 32].
* Significantly different from the preceding time point at alpha level p < 0.05 (GEE model, adjusted for age group, race/ethnicity, education, marital status at pregnancy, parity, general health status, and pre-pregnancy body mass index).
Computing a transition matrix enables the prediction of transcription factor α-coefficients at one time point from the α-coefficients at the preceding time point by matrix multiplication: A t + 1 = T A t.
The probability of surviving to any point is estimated from the cumulative probability of surviving each of the preceding time intervals.
From this point, we did a retrospective research in the preceding time period to determine their last cytological examination.
The backward message is therefore calculated by accumulating information at the current graph state (at time k) from preceding graph states (at time k + 1).
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