Showing 281 - 291 results of 291 for search '"Randomized algorithm"', query time: 0.21s Refine Results
  1. 281

    Leipzig - Individual Placement and Support for people with mental illnesses (LIPSY): study protocol of a randomized controlled trial by Felix S. Hussenoeder, Maria Koschig, Ines Conrad, Uta Gühne, Alexander Pabst, Sophie-Elisabeth Kühne, Mathias Alberti, Katarina Stengler, Steffi G. Riedel-Heller

    Published 2021-08-01
    “…The IG will receive IPS + high quality treatment as usual (TAU), the active CG will receive TAU + a booklet on integration measures. A block-randomization algorithm with a targeted assignment ratio of 1:1 for participants in IG and active CG will be used, stratified by sex and three age groups. …”
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  2. 282

    Asynchronous Approximation of a Single Component of the Solution to a Linear System by Ozdaglar, Asuman E., Shah, Devavrat, Yu, Christina Lee

    Published 2019
    “…Index Terms—linear system of equations, local computation, asynchronous randomized algorithms, distributed algorithms…”
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    Article
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    Hardness magnification for natural problems by Santhanam, R, Oliveira, IC

    Published 2018
    “…We show that for arbitrary 1/2 ≺ β ≺ α ≤ 1, if (α, β)-MCSP[2^√n] cannot be solved by randomized algorithms with random access to the input running in sublinear time, then NP is not contained in BPP. 4. …”
    Conference item
  5. 285

    Multiple Hungarian Method for <i>k</i>-Assignment Problem by Boštjan Gabrovšek, Tina Novak, Janez Povh, Darja Rupnik Poklukar, Janez Žerovnik

    Published 2020-11-01
    “…The other three algorithms, <inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">D</mi><mi>m</mi></msub></semantics></math></inline-formula>, <inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">E</mi><mi>m</mi></msub></semantics></math></inline-formula>, and <inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">F</mi><mi>m</mi></msub></semantics></math></inline-formula>, incorporate randomization. Algorithm <inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">D</mi><mi>m</mi></msub></semantics></math></inline-formula> can be considered as a greedy version of <inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">B</mi><mi>m</mi></msub></semantics></math></inline-formula>, whereas <inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">E</mi><mi>m</mi></msub></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><msub><mi mathvariant="normal">F</mi><mi>m</mi></msub></semantics></math></inline-formula> are versions of local search algorithm, specialized for the <i>k</i>-matching problem. …”
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  6. 286
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    Modern Interactive Proofs by Holden, Dhiraj

    Published 2022
    “…We view pseudo-deterministic interactive proofs as an extension of the study of pseudo-deterministic randomized algorithms: the goal of the latter is to find canonical solutions to search problems whereas the goal of the former is to prove that a solution to a search problem is canonical to a probabilistic polynomial time verifier. …”
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    Thesis
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    A randomized, double-blind, placebo-controlled phase III clinical trial to evaluate the efficacy and safety of SARS-CoV-2 vaccine (inactivated, Vero cell): a structured summary of... by Murat Akova, Serhat Unal

    Published 2021-04-01
    “…The IWRS system customizes the randomization algorithm. After enrolment in the study, each participant will be randomly assigned to either of the two treatment arms at a ratio of 1:1 in the high-risk group and at a ratio of 2:1 in the normal risk group. …”
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