In addition, there is an extensive classification of computable problems into computational complexity classes according to how much computation as a function of the size of the problem instance—is needed to answer that instance.
We first provide relevant background on message passing and computational equivalence classes called dwarfs and describe our exploratory data analysis using self organizing maps.
The camera, which is just a prototype, was developed by Matt Richardson, a photographer and programmer, for a Computational Cameras class at New York University's Interactive Telecommunications Program.
Looking at the procedure a bit more precisely, it can be shown that GL is decidable in the computational complexity class PSPACE, like the well-known modal logics K, T and S4.
In fact, since for computational reasons, velocity classes were typically discretized in steps of 0.5 m/s and the lowest velocity class, where all the fines were included, was 0.5 m/s, that implies the class of 0.5 m/s was implicitly considered as the effective settling velocity class of the aggregates, a value similar to that used by Armienti et al. (1988) for the 1980 Mt. St. Helens eruption.
Here we explored attributes such as computational source, discrepancy class, GO aspect, and the amount of literature for a gene.
By sorting paired manual-computational annotations into classes based on the relationship between the two annotations, we can determine which annotations, and by association which genes, show lack of concordance, indicating that the set of annotations for a gene should be reviewed.
Several groups have developed computational approaches to recognize classes and sub-classes of GPCR proteins (Cheng et al., 2005; Jaakkola et al., 2000; Karchin et al., 2002; Srivastava et al., 2007).
By statistical tests and other computational methods, the two-class and multi-class array data are usually analyzed focusing on the class-specific signature genes (i.e., genes that are expressed for one/some class es) and unexpressed for the other/rest of the class es)).
It is based on the examination of the classes of computational devices, in the ascending order of their computational power, ranging from finite-state machines to pushdown automata and linear automata.
