Sentence examples for searching machine from inspiring English sources

Exact(1)

It remains a super-sparse, mean, clean searching machine, an essential ingredient for speed in an age when 70percentt of Internet fans still connect using slowish dial-up modems.

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What should they have done in fact they did do with those luggage/baggage searching machines when they were in short supply after 9/11?

There was a sense of doom in the air saying that if you put your baggage searching machines somewhere, all you do is cause the attempted terrorists, terrorists attempting to blow up the planes, to go elsewhere.

You'd hear these experts on Nightline or whatever and they'd say: look there's no point trying to do this, because if we put all our baggage searching machines at Logan Airport in Boston, for example, then the terrorists will simply move their attack to O'Hare and if we put them at O'Hare, then they'll move their attack to Logan.

The thesaurus has proved very useful both for indexing and for searching in machine systems.

Peter Griffin says that he became a supplier after an acquaintance of the scientist, searching for machine tools, dialled the wrong listing from a business directory.

The development of techniques to store and search DNA sequences have led to widely applied advances in computer science, especially string searching algorithms, machine learning and database theory.

Entries were organized according to the following scientific subject areas: data sets for structure-activity relationship (SAR) and structure-selectivity relationship (SSR) analysis, SAR visualization (SAR_VZ), and virtual screening via similarity searching or machine learning (VS_ML).

Yahoo! is transforming itself into a site that is part portal, part shopping mall and part search machine.

The goal of this paper is to present Computer Go by showing the links between existing studies on Computer Go and different AI related domains: evaluation function, heuristic search, machine learning, automatic knowledge generation, mathematical morphology and cognitive science.

As a result the system is able to provide a rich, personalized information seeking experience for different types of patent searches, potentially exploiting techniques from diverse areas such as distributed information retrieval, semantic search, machine learning and human computer interaction.

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