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This exceptionally poor performance by the GMM (Q-stack) is caused by degeneration of the GMM covariance matrices due to the discrete training qualities used (see Table 12).
However, most practical BN learning algorithms only accept discrete training data (c.f. systems biology applications of these algorithms).
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Seven-month-old fish showed stronger avoidance behavior as measured by color preference index with discrete spaced training as compared to successive spaced training.
He has experienced a number of approaches: applied behavioral analysis, incidental learning, Floortime, sensory integration therapy, discrete trial training and just plain one-on-one good teaching.
The present study evaluated the feasibility and effects of a peer-mediated, school-based, discrete trial training (DTT) protocol for students with autism spectrum disorder (ASD).
A common misunderstanding among parents and practitioners is the assumption that Applied Behavior Analysis, or ABA, is only comprised of discrete trial training (DTT).
The spikes are assigned the height such that the discrete spike train reads (12).
In each of these problems, we would obtain predictions about which features of the timing and size of inputs within a discrete input train yield which spiking patterns.
Although raw voltage time series data can be used directly, discrete spike train data can be transformed to a time series which has the advantage of removing any nonstationarities and reducing noise.
It becomes increasingly clear that traditional approaches that characterize first-order (e. g. peri-event rasters or peri-event histograms) or second-order (e. g. pair-wise cross-correlations and joint peri-event time histograms) statistics of time series of discrete spike trains (point process) are no longer adequate to deal with the complexity of the large data sets [7], [8].
We demonstrate this framework for training discrete latent-variable models.
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