Sentence examples for between two probability vectors from inspiring English sources
The Jensen Shannon divergence (JSD) between two probability vectors P and Q is a bounded distance metric defined as JSD (P ‖ Q ) = 1 2 D k l (P ‖ M ) + 1 2 D k l (Q ‖ M ), (10 where M = 1 2 (P + Q ), and 0 ≤ JSD(P‖ Q) ≤ 1.
Furthermore, define also the following two probability vectors: (6).
There are many methods of measuring the difference between two probability distribution vectors, such as Euclidean distance, Manhattan distance and Kullback Leibler divergence, etc.
On the contrary, Jaccard correlation index is defined as a harmonic mean between two probability density functions and expresses a scalar sum of two vectors.
We generated a hundred random probability vectors, by sampling probabilities for each node from the uniform distribution.
We chose this measure as the uncentered correlation coefficient between two orthogonal probability distribution vectors is zero, whereas the normal (mean-free) correlation coefficient would be negative, which is undesirable given the design of the objective function (equation 7).
Distance between two users or two items is the distance between two row vectors (for user kernel) or column vectors (for item kernel).
A functional distance between experiments is defined as the distance between two pathprint vectors.
Mutual information MI (Cover and Thomas, 1991) between two binary vectors u, v ∈[0, 1]1× n is calculated as follows; MI u ; v )=∑ y ∈[0,1]∑ x ∈[0,1] P x, y)log P x, y)/ P x) P y) where x and y are the values of u and v, respectively, and P is the probability function.
