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We note first that since the class labels of many of the training examples are unknown, it is not possible to carry out a one-vs-one strategy.
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What significance, if any, visitors might attribute to these particular examples is unknown, but previous work has demonstrated the potential for interpreting the layout of exhibits that include humans, their most recent extinct relatives, and/or other primates as directional and progressive (Scott and Giusti 2006).
In the absence of what is now considered basic knowledge of sanitation and health (the role of bacteria in disease, for example, was unknown until the 19th century), mortality rates were very high, especially for infants and children.
How c-Myc mechanistically stimulates epidermal cells to differentiate, as opposed to undergo apoptosis for example, is unknown.
On the other hand, clustering is the task of grouping examples (whose classes are unknown) based on their similarities.
For example, many factors are unknown and would need to be estimated or assumed for each dataset, such as the basic reproduction number, proportion of infections that were reported, effect of other interventions and the proportion of individuals who were immune at the start of the outbreak.
It should be noted that in the subsequent examples, the exact solutions are unknown.
However, such divergent roles for REC8 are unknown; for example, three REC8 copies are also present in C. elegans, but their functional differences have not been extensively characterized [ 110].
While its exact role in familial recurrent HMs are unknown, for example it has no established role in DNA methylation, there have been several possible biological mechanisms put forward (Slim and Mehio, 2007).
To illustrate how the contraction bias could emerge from such a Bayesian computation, we consider the following three examples: L1 is unknown, L2 is known.
Aside from these few examples, it is unknown whether most ecologically important diatoms with cosmopolitan distributions are true species or whether they are comprised of multiple cryptic species.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com