It took the K computer, with over 700,000 processor cores and 1.4 million GB of RAM, 40 minutes to model the data.
Once the responses are collected, the second task is to model the data into a projection by taking into account various factors such as demographics, past voting and exit poll patterns, differential swing and turnout between different locations, and the likely outcome all this pooled information from the polled constituencies implies for constituencies elsewhere.
And the results depend on the assumptions used to model the data".
To make sure that each variable is treated similarly in the model, the data were normalized.
Hence, the chosen model appears to be suitable to model the data.
Let M = m 0 … S be the set of masses that model the data under consideration.
For each model, the data set was split into 5 equal-sized random sets.
To accomplish the aforementioned, we model the data input space as comprising of Instances.
Standard models such as spherical, exponential, Gaussian, and power were used to model the data set.
The HMM itself is used to model the data stream represented as a particular event.
A standard procedure would be to model the data first and then to design a controller.
