Things to know about the potential impacts of primary OAM data

Steps/recommendations:

  • Standard: Primarily, the similarity analysis builds models that are based only on input ranks, and it shifts off any kind of numeric distance-handling to the stairs. It suggests that understatement of the world can be comprehended as a finite-numbered pattern, which is based on the combinatorial sizes of learning patterns, and where the numeric nature of the data has a secondary role. Similarly to the forecasts, where the primary importance is to be able to recognize the directions of change, not the numeric estimation precision. Of course, high numeric precision means that the model will less likely change direction, but the negative effect of the independence of these error definitions is higher than we would think...
  • However, primary OAM data can be integrated into the estimation process without any problems, so the component values of the estimations can be interpreted as the interaction of the stairs and primary data. This enlarges the latitude (cf. polynomials) of model building, because besides the improvisative consolidation of the components (cf. additive and multiplicative models), a new parameter-space will be utilized, that allows to line up an arbitrary mathematical apparatus (cf. activation function): similarly to the final value of the estimation, the sum or product of primary data and stair steps can be defined here too. One must be cautious, however, for the two numbers have to be compatible with each other all the time (cf. division by zero). The inclusion of primary data within the model may lead to polynomial stairs besides stair functions, and the chance grows with bigger and bigger shifts of the Y, and with higher and higher distances between primary data. The interpretation of polynomial stairs can be interpreted as a special challenge...
  • The communications module of the expert systems means the special utilization of primary data, where the intervals drawn by the primary numbers means the context-related answers for the questions that allow classification.
  • Another use of primary numbers is the comparison of the distances between the result-stairs and the distances between primary data, for some sort of search of inconsistence. Primary numbers (X-axis) and their related stair steps (Y-axis) may have an arbitrary figure, but not each of these figures, can be considered correct (it is content-related), or not in every case, moreover, it is preferable to have less patterns that are considered to be valid, and one of these preferred patterns can be found in the answer.

Should you have any further questions, we suggest you to take a look on the related documents of MIAU: e.g. Demo


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