Sentence examples for inferences arrived from inspiring English sources

Exact(1)

Finally, novel herbicides are rationally designed, based on the inferences arrived at in the structural interpretation experiment and predictions of their qualitative and quantitative soil sorption profiles performed, using the built aug-MIA-SPR and Wang's models, respectively.

Similar(59)

Despite the relatively high number of different gene orders found in gastropod mt genomes, few of them are shared and derived, and thus both parsimony and Bayesian inference arrived at rather unresolved trees.

Sound understanding makes inferences and arrives at a belief.

Norton claims that any thought experiment is really a (possibly disguised) argument; it starts with premises grounded in experience and follows deductive or inductive rules of inference in arriving at its conclusion.

Closely connected to his non-naturalism was the epistemological view that our knowledge of moral truths is intuitive, in the sense that it is not arrived at by inference from non-moral truths but rests on our recognizing certain moral propositions as self-evident.

It is somewhat more plausible to hold that beliefs about physical objects, even if not arrived at via inference, must still be inferentially justified, but neither the rationale for such a claim nor its relation to the idea of givenness or immediacy is clear at this point.

Phylogenetic reconstruction with commonly used methods of phylogenetic inference (ME, MP, ML, BI) arrived at a single topology, which was used to reconstruct the evolution of mitochondrial gene rearrangements in the group.

Phylogenetic reconstruction with commonly used methods of phylogenetic inference (BI, ML, MP, NJ) arrived at a similar topology, which was used to reconstruct the evolution of mitochondrial gene arrangements in snakes.

This raises further questions about inference e.g., why 'The king arrived' implies an arrival, while 'Nobody arrived' does not and more general questions about how logic is related to grammar.

The goal of Bayesian network inference is to arrive at a directed graph such that the joint probability distribution is optimized globally.

The theoretical analysis shows that the generation of such a network from 6 random state transitions and random selection of 3 regulators of every gene is extremely low which in turns suggests that there is structure in the biological data that is exploited by our inference algorithm to arrive at a biologically plausible BN.

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