This paper contains an experimental evaluation of the behavior of cats in aqueous environments. In particular, it offers a carefully controlled study of the rate at which felines adapt to underwater existence. The authors show that while cats are highly active when first placed underwater, they quickly adapt by lowering their activity level. This is, of course, a natural response to the low levels of free oxygen in water.
Were the rate of adaptation sufficiently rapid, this would have enormous commercial possibilities. Unfortunately, the results are uniformly negative, showing only slow adaptation rates for most subspecies. As a consequence the results are of limited practical interest.
The experimental results are unsuprising, being simply a confirmation of the well-known predictions of Cadwaller-Cohen (``The Chaostron'', Datamation, 1961.)
The paper also contains a theoretical section, which gives a proof that P=NP. This seems to be novel--although it is merely an the extension of the well-known result from N=1 to more general N. It's not obvious from the paper if this is practically significant.
The theoretical sections appear to be technically correct. The experiments are also well-constructed, as far as they go. The paper would be improved, however, by further results on other small domestic animals or, ideally, humans. A paper detailing how college undergraduates adapt to long-term aqueous immersion, for example, would be of great interest.
The paper is generally well-written. However the section on related work should be expanded to cite me more.
What is the result if heavy water is used?
Also, experimental confirmation of existing theoretical results are in general much less publishable than theoretical confirmation of existing experimental results.
Must state that P=NP is a trivial extension of P=1P from 1 to N.
Although this paper is not without value, it is largely inappropriate for machine learning, as no machines are involved. However, I'm recommending acceptance anyway, because the author cited my thesis.