Sentence examples for method answers the from inspiring English sources

A novel 6 DoF object pose estimation technique, which entails a bunch-based architecture and a manifold modeling method, answers the "Where".

Extensive experimental evaluation shows that, on top of the advantages that a distributed storage offers, our method answers the vast majority of incoming queries, both point and aggregate ones, without flooding the network and without causing significant storage or load imbalance.

Thus we feel that our method answers the question "what share of OA copies would the average researcher find" rather well, compared to the alternative "what share of OA copies are available somewhere on the web".

The method answers the question of whether the whole analyzed promoter has a binding site, but can also be extended to estimate the binding probability at each nucleotide position.

Secondly, the proposed method answers the question of whether the whole promoter has a binding site, as opposed to reporting a p-value for every possible position in the sequence.

Each method answers the criticism of the other; a rigorous meta-analysis will provide a numerical evaluation of intervention efficacy, while a well-conducted realist synthesis will explore study context and mechanisms.

For both these methods, answering the questionnaire nevertheless imposed cognitive demands on the respondents equally, whereby the respondent had to have reading and comprehension skills and be literate in reading the language of the questionnaire.

In his landmark 1950 paper "Computing Machinery and Intelligence," the mathematician, philosopher and code breaker Alan Turing proposed a method for answering the question "Can machines think?": an "imitation game" in which an "interrogator," C, interviews two players, A and B, via teleprinter, then decides on the basis of the exchange which is human and which is a computer.

This may seem like the ultimate method to answer the question "what colors do animals see?" but it is not.

The last step in genetic algorithm method is answering the question that whether the founded solution by algorithm will meet user expectations.

Mathematical modelling is the only scientific method to answer the question because it forces to state the different components contributing to the risk, to gather all available knowledge on these components, and to explicitly describe how the risk is computed.