Sentence examples for probable sequence from inspiring English sources

Modeling potential domino scenarios in process plants includes the prediction of the most probable sequence of events and the calculation of respective probabilities, so-called escalation probabilities, so that appropriate prevention and mitigation safety measures can be devised.

In general, if we can determine the probabilities for sequences of states, we can also determine the most probable sequence of words or phonemes; that is, given a sequence of observations, we calculate the state distribution and subsequently a distribution over phonologies, to wit the probabilities of possible word, syllable, or phoneme sequences.

Characterizing the downstream consequences of defects involving attachment organelle components has made it possible to begin to elucidate the probable sequence of certain events in the biogenesis of this structure.

Mr. Low said that the 200 to 300 men trying to find out the cause of the explosion, which shook the Apollo 13 spacecraft and left it without its major source of power al most a quarter of a million miles from the earth, had de cided that the "most probable sequence of events" included a short circuit in Oxygen Tank No. 2, followed by an explosion or fire of some kind.

This path is then traced back to determine the most probable sequence of transmitted symbols/codewords.

The Viterbi algorithm is then used to find the most probable sequence [18], with the Euclidian-squared distance given by (10).

PCR duplicates, adapters and linkers were removed, and paired-end reads found to contain probable sequencing errors (that is, sub-sequences of ≥23 bp not found in at least one other independent read) were culled.

In fact, this algorithm reduces complexity by restricting the search space to only the Q most probable sequences.

Variants were classified as high-confidence variants or as probable sequencing artifacts in the following way.

Hence, in order to analyze the most probable sequences of five winds preceding a particular class of wind for the 6th day, we have used the supervised trained matrix (smoothed 3 times) and its 162×162 Kohonen map, with 1975 94 wind data and 10000 epochs, which corresponds to the neighbourhood matrix of Figure 4.

The T7 Trinuc population gave the greatest functional diversity approximately equivalent to 1015 equally probable sequences.