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Algorithm / Resampling / Sampling / Null hypothesis / F-test / Confidence interval / Bootstrapping / Cluster analysis / Normal distribution / Statistics / Statistical inference / Information retrieval


Evaluating Non-Deterministic Retrieval Systems Gaya K. Jayasinghe William Webber Mark Sanderson
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Document Date: 2014-06-15 19:34:14

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Australia / /

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Facility

J. Shane Culpepper RMIT University / RMIT University / Evaluating Non-Deterministic Retrieval Systems Gaya K. Jayasinghe William Webber Mark Sanderson RMIT University / /

IndustryTerm

non-deterministic algorithm / randomized sampling-based algorithm / generated using algorithm / exhaustive search baseline / topical sharding algorithm / deterministic exhaustive search / nondeterministic algorithm / obvious solution / non-deterministic algorithms / search cost / exhaustive search increases / classification algorithms / deterministic algorithm / non-deterministic systems / exhaustive solution / exhaustive search / search time / search results / focused on reducing the search cost / /

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Evaluating Non-Deterministic Retrieval Systems Gaya K. Jayasinghe William Webber Mark Sanderson RMIT University Melbourne / Deakin University / J. Shane Culpepper RMIT University Melbourne / Australian Research Council / /

Person

D. J. Davidson / J. Shane Culpepper / R. H. Baayen / D. M. Bates / William Webber Mark Sanderson / /

Position

author / markov random field model for term dependencies / researcher / Fisher / Performance Evaluation General / /

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Queensland / Massachusetts / /

Technology

sampling-based algorithms / IR algorithm / non-deterministic algorithms / randomized sampling-based algorithm / two IR algorithms / nondeterministic algorithm / deterministic algorithm / clustering algorithm / classification algorithms / sample-based algorithms / topical sharding algorithm / sample-based IR algorithm / simulation / FDM / two non-deterministic algorithms / non-deterministic algorithm / same algorithm / generated using algorithm / non-deterministic IR algorithms / /

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