Sentence examples for follows inference from inspiring English sources

We summarize the full algorithm as follows: Inference of structure and dynamic polynomial models Inference algorithms using a discrete modeling framework, such as Boolean or certain Bayesian methods, face an additional challenge: their performance depends on the choice of a data discretization method.

We may reason as follows: an inference in CL is retracted as soon as we find out that it relies on premises that are not free.

Yet when "Case Closed" was published in 1993 you doubted its reasoning, concluding that it "does little more than smugly slant every piece of disputed evidence in favour of the lone-assassin theory an approach exactly opposite to that of conspiracy writers, who follow every inference in the evidence to their own illogical conclusions" ("The death of a president", October 9th 1993).

It requires structuring of terrain objects in a nested hierarchy, followed by inference and formalisation of knowledge rules.

There appear to be lots of other examples: e.g., in reasoning we pretty often follow certain inference rules like modus ponens, disjunctive syllogism, etc., without necessarily explicitly representing them.

Initial alignments were performed on amino acid sequences using Vector NTI advance 10 (Invitrogen) followed by inference of the nucleotide alignment.

Following network inference, visualization was accomplished using Cytoscape and topological network descriptors were estimated using CentiScaPe [ 41].

Following fitness inference, internal or external nodes were ranked by their expected fitness and we report the top ranked node as our prediction.

Phylogenomics – the study of evolutionary relationships based on comparative analysis of genome-scale data – has so far been developed as industrial-scale molecular phylogenetics, proceeding in the two classical steps: multiple alignment of homologous sequences, followed by inference of a tree (or multiple trees).

The idea of local inference follows the basic principles of statistical design proposed by Sir R. Fisher while the idea of consensus inference is one statistical view of systems biology.

It follows that such inference can never achieve apodictic certainty.