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The transitions matrix T that has the probabilities of different transitions of individual(x) from one destination to another.
P-DPA_M1 The P-DPA algorithm uses a transition matrix that has the probabilities of visiting different destinations after the current location of individual(x).
The first version of the transition matrix has a memory size of one, which means that the transition matrix has the probabilities of visiting different destinations after visiting the current location of individual(x).
The second version of the transition matrix has a memory size of n, which means it has the probabilities of visiting different destinations after visiting n number of locations by individual(x), where n is obtained by analysing the dataset.
In their algorithm, they built a transitions matrix that has the probabilities of all the different transitions of an individual to place k after visiting place i and place j.
P-DPA_MN Suffix _MN with the P-DPA algorithm indicates that the algorithm uses a transition matrix that has the probabilities of visiting different destinations after visiting n number of destinations.
Similar(54)
In the simultaneous activity pattern set, the activity has the probability relationship with another activity, and the simultaneous activity pattern set has the probability relationship with another set.
For example, IN_2's camera has the probability to capture the side views of MOs.
In each time slot, a node has the probability of to receive the service announcement.
It is isostructural with calcium hydroxylapatite, and Cd2+ has the probability of replacement for Ca2+ in hard tissue [4].
For gender, Pearson χ2 has the probability of 0.07.
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