Sentence examples for model of event from inspiring English sources

The current most prominent model of event perception is EST (Zacks et al., 2007).

For instance, the particular scenario that is simulated can be represented as a graph of logical processes or LPs, and each LP is represented with its behavioral model of event generation and processing as shown in Figure (1).

Based on the currently most prominent model of event perception, the event segmentation theory (EST; Zacks, Speer, Swallow, Braver, & Reynolds, 2007), prediction errors occur and an event boundary is perceived when certain event features change (e.g., situational features such as spatial location and characters: Zacks, Speer, & Reynolds, 2009).

In particular, the model was not sensitive to changes in the costs of events; this is important because it indicates that there is no limitation associated with the use in our model of event costs that were not inflated from 2004 values (under the assumption that while some event costs will have increased, others will have decreased).

By introducing an event generator in the control loop, the model of event-triggered master slave synchronization frame is constructed.

There are so many great causes out there that fall short of their potential because they're relying on an outdated, inefficient model of event-based fundraising that, let's be honest, amounts to little more than begging.

In terms of the involvement of specific factors in regulating this pathway, then four of the genes studied here (Ifnb1, Irf3, Stat1 and Stat2) can be explained based on findings from previous studies and fit our model of events [ 21].

Whilst the primary objective behind our efforts has been to create a graphical model of events, we have been mindful to construct pathway diagrams as directional networks that could in principle support studies on the dynamics of these systems.

For example, if we analyse the disease data such that the deteriorations of many lesions are found simultaneously, we should select the model that can manage the count data approach rather than the gap time modeling of event history analysis.

Thus, each event instance annotated represents one training sample for the model of the event class regardless whether there were overlapping events present or not.

The modelled parameters can be implemented in future studies for the forward modelling of events at the same site, or other sites along this slope, in order to assess the potential of future river blockings through landslide deposits.