The phrase "at previous steps" is correct and usable in written English.
It can be used when referring to actions or decisions made earlier in a process or sequence.
Example: "As we analyze the results, we must consider the decisions made at previous steps in the project."
Alternatives: "in earlier stages" or "in prior steps".
To eliminate the effect of the nonparametric uncertainties in an unmatched manner, a novel future states prediction is designed using states information at previous steps to compensate for the effect of uncertainties at the current step.
They are all based on using token tags assigned at previous steps and developed dictionaries (Table 1).
The Markov property states that the conditional probability distribution for the system at the next step (and in fact at all future steps) given its current state depends only on the current state of the system, and not additionally on the state of the system at previous steps: P ( X n + 1 X 1, X 2, …, X n ) = P ( X n + 1 X n ).
Markov property states that the conditional probability distribution for the system at the next step (and in fact at all future steps) depends only on the current state of the system, and not additionally on the state of the system at previous steps [37].
To ensure an exhaustive sampling of homologues, we performed additional searches using as seeds homologues that were identified at previous steps.
That is, a predictor variable selected for binary splitting at a given step may be " re-selected" at subsequent steps, or even " re-removed" as at previous steps.
The normalization algorithm is designed to resolve complications that arise from ambiguities introduced at previous step during "hard" or incomplete "simple" removal or addition of protons and in case of charged atoms resembling results of heterolytic dissociation.
In addition, we also conservatively adjusted for variables associated with severe PTSS (P<0.25) at the previous steps.
Integrating information from multiple images of the same wells recovers the possible misclassifications that occurred at the previous steps (cell and image classification).
The integration of information from multiple images of the same wells enables us to recover the possible misclassifications that occurred at the previous steps.
*Significance of Non-parametric test r, Pearson correlation; Adm., admission; THR, total Hip replacement; FIM, Functional Independence Measures; L/Es, lower extremities; P/WBAT; partial or weight bearing as tolerated *Only variables significant at p <.10 at the previous step were retained and entered in the step.
