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This paper starts this discussion, but much more work is needed to validate the conjectures presented in this paper.
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To validate the the conjecture that the approach is effective for problems with large M and small N, where N denotes the number of objects, we have conducted additional experiments on 10 other gene data sets with gene expression classification problems.
Initial experiments confirm that the behaviour of the two models is the same thus validating the conjecture that a problem can be adequately described in both paradigms.
Further work will focus on refining the model and validating the aforementioned conjectures.
We are currently carrying out laboratory and clinical studies to validate this conjecture.
This observation may reflect successful infection-control strategies in study hospitals, but further study is needed to validate this conjecture.
In this note we present a combinatorial argument establishing that no 3-SAT instance on n variables can have a prime implicate whose length exceeds max {[n/2] + 1, [2n/3]}, validating this conjecture for the case n = 9.
None of the conjectures has been resolved so far.
To validate our conjecture that the proposed ts-RF model is effective for GWA data, we have conducted additional experiments on gene data sets.
To validate our conjecture we consider the following scenario.
Clearly if d | n t for some t ∈ N then g. c. d. ( d, n - 1 ) = 1, so that the conjecture is validated in this situation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com