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Event models using temporal episodes from several variables are proposed.
We also explored potential extensions to the models, but in the end found that simple frequency heuristics largely outperformed more complicated models using temporal information.
Most works so far formulate continuous-time models using temporal point processes and are focused on social influence, such as guiding opinion diffusion [107] or determining when to post to maximize impact [108].
That is not to say that profitable opportunities do not exist via alternative differential pricing models using temporal demand forecasts (for example [31, 32]), or alternative cloud brokerage models.
Similar(56)
Several algorithms have been developed to estimate the "background model" using temporal information [37].
The models were validated using temporal validation by training the model on the first 75% of measurements and prospectively testing on the last 25% of measurements.
We present a system for automated segmentation and mitotic phase labelling using temporal models.
More recent research has been using advanced semi-physically/physically based distributed hydrological models using high-resolution temporal and spatial data for diverse applications.
The age, calendar time, region and season adjusted HR was 1.20 (95%CI 1.11,1.29) for models using the spatio-temporal model predictions and 1.14 (95%CI: 1.06, 1.22) for models using the nearest USEPA monitor values.
While the other models used multiple temporal, as well as spatial, variables, only case counts were used in case of prediction using Holt-Winters exponential smoothing.
We consider a compartmental approach and derive temporal and spatio-temporal models, using Advection Diffusion Reaction equations to model mosquito dispersal.
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