The phrase "a pattern of probabilities" is correct and usable in written English.
It can be used in contexts involving statistics, data analysis, or any situation where you are discussing likelihoods or trends.
Example: "The research revealed a pattern of probabilities that suggested a higher risk of heart disease among smokers."
Alternatives: "a trend of likelihoods" or "a sequence of chances".
It added that football was "stochastic", meaning that it conforms to a broad pattern of probabilities but cannot be accurately predicted.
Apparent lower specificity of prediction by this signature in the validation set parallels an interesting pattern of probability distribution in the training set, in which more recent cases seem to have higher probability of being predicted as cancer, suggesting that the follow-up time might not be long enough (see Additional file 2 and its Figure 8 for further discussion).
For SIs and NPCIs, a pattern of decreasing spread among coverage probabilities for QTL in all marker densities is visible across sub-simulations with the QTL not on the left marker (10 50% distance).
Finally, we developed a symmetric probabilistic likelihood model based on a normal distribution of element activity that transforms the information of the TinT matrix into a pattern of chronological integration periods indicating the probability of activity for each analyzed element type.
We then implemented a deletion algorithm pattern that assigned a higher probability of missing data to one particular question, a pattern of missing data that resembles that of our surgical outcome study.
We found that the pattern of probability value between minimum, maximum, and average scenarios were slightly different.
By analyzing the shifting patterns of probabilities, new relationships emerge.
Even if one cannot say which class the fragments are in, similar fragments will have similar patterns of probabilities.
Note that within such a competitive framework a pattern detection probability of 50% is hardly a disaster: it means that with 2 neurons the risk that one pattern is not detected is 25%, with 3 neurons 12.5%, with 4 neurons 6.25% and so on.
Exiting the QMM, they leave behind a spatially periodic pattern of the probability of finding a qubit in the ground (excited) state.
