Showing 141 - 160 results of 291 for search '"randomized algorithm"', query time: 0.26s Refine Results
  1. 141

    Pseudo-deterministic streaming by Goldwasser, Shafrira, Grossman, Ofer.

    Published 2021
    “…A pseudo-deterministic algorithm is a (randomized) algorithm which, when run multiple times on the same input, with high probability outputs the same result on all executions. …”
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    Article
  2. 142

    Concurrent disjoint set union by Jayanti, Siddhartha V, Tarjan, Robert E

    Published 2021
    “…The analysis of the second randomized algorithm is valid even if the scheduler is adversarial. …”
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    Article
  3. 143

    Broadcasting in unreliable radio networks by Kuhn, Fabian, Lynch, Nancy Ann, Newport, Calvin Charles, Oshman, Rotem, Richa, Andrea

    Published 2011
    “…On the positive side, we give two algorithms that tolerate unreliability: an O(n3/2 √log n)-time deterministic algorithm and a randomized algorithm which terminates in O(n log2 n) rounds with high probability.…”
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    Article
  4. 144
  5. 145

    Partially Symmetric Functions Are Efficiently Isomorphism Testable by Blais, Eric, Weinstein, Amit, Yoshida, Yuichi

    Published 2015
    “…Given a Boolean function f, the f-isomorphism testing problem requires a randomized algorithm to distinguish functions that are identical to f up to relabeling of the input variables from functions that are far from being so. …”
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    Article
  6. 146

    The development of cloud modelling and motion analysis for virtual environment by Sunar, Mohd. Shahrizal, Daman, Daut, Kari, Sarudin, Mohd. Suaib, Norhaida, Bade, Abdullah

    Published 2005
    “…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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    Monograph
  7. 147

    The development of cloud modelling and motion analysis for virtual environment by Sunar, Mohd. Shahrizal, Daman, Daut, Kari, Sarudin, Mohd. Suaib, Norhaida, Bade, Abdullah

    Published 2005
    “…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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    Monograph
  8. 148

    A randomized approach to speed up the analysis of large-scale read-count data in the application of CNV detection by WeiBo Wang, Wei Sun, Wei Wang, Jin Szatkiewicz

    Published 2018-03-01
    “…In this study, we aimed to speed up substantially the GLM+NB method by using a randomized algorithm and we demonstrate here the utility of our approach in the application of detecting copy number variants (CNVs) using a real example. …”
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    Article
  9. 149

    A hybrid recommender system based-on link prediction for movie baskets analysis by Mohammadsadegh Vahidi Farashah, Akbar Etebarian, Reza Azmi, Reza Ebrahimzadeh Dastjerdi

    Published 2021-02-01
    “…The results show that the Mean Squared Error (MSE) of the proposed model has decreased respectively 8.59%, 8.67%, 8.45% and 8.15% compared to the basic models such as Naive Bayes, multi-attribute decision tree and randomized algorithm. In addition, Mean Absolute Error (MAE) of the proposed method decreased by 4.5% compared to SVD and approximately 4.4% compared to ApproSVD and Root Mean Squared Error (RMSE) of the proposed method decreased by 6.05 % compared to SVD and approximately 6.02 % compared to ApproSVD.…”
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    Article
  10. 150
  11. 151

    Hardness of Low Delay Network Scheduling by Shah, Devavrat, Tse, David N. C., Tsitsiklis, John N.

    Published 2012
    “…In particular, the average delay of Tassiulas' randomized algorithm must grow super-polynomially. To establish our results, we employ a clever graph transformation introduced by Lund and Yannakakis (1994).…”
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    Article
  12. 152
  13. 153

    A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees by He, Xiaoyu, Tang, Xueyan, Cai, Wentong, Li, Jingning

    Published 2024
    “…In this article, we provide a modeling paradigm that converts a MAPF problem into a stochastic process and adopts a confidence bound based rule for finding the optimal state transition strategy. A randomized algorithm is proposed to solve this stochastic process, which combines ideas from conflict based search and Monte Carlo tree search. …”
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    Journal Article
  14. 154

    On low-risk heavy hitters and sparse recovery schemes by Li, Yi, Nakos, Vasileios, Woodruff, David P.

    Published 2018
    “…For the weakest variant, we give a randomized algorithm improving the failure probability analysis of the ubiquitous Count-Min data structure. …”
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    Journal Article
  15. 155

    Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: study protocol for a parallel group randomized controlled trial by Victoria Ka-Ying Hui, Christy Yim-Fan Wong, Eric Ka-Yiu Ma, Fiona Yan-Yee Ho, Christian S. Chan

    Published 2020-10-01
    “…This smartphone app has been pilot tested and revamped to improve user experience. An online randomized algorithm is used to perform randomization to ensure allocation concealment. …”
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    Article
  16. 156
  17. 157

    Towards breaking the exponential barrier for general secret sharing by Liu, Tianren, Vaikuntanathan, Vinod, Wee, Hoeteck

    Published 2020
    “…A secret-sharing scheme for a monotone Boolean (access) function F: {0, 1}[superscript n] → {0, 1} is a randomized algorithm that on input a secret, outputs n shares s[subscript 1]., s[subscript n] such that for any (x[subscript 1]., x[subscript n]) ∈ {0, 1}[superscript n] the collection of shares {s[subscript i]: xi = 1} determine the secret if F(x[subscript 1]., x[subscript n]) = 1 and reveal nothing about the secret otherwise. …”
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    Article
  18. 158

    High-precision Estimation of Random Walks in Small Space by Ahmadinejad, AmirMahdi, Kelner, Jonathan, Murtagh, Jack, Peebles, John, Sidford, Aaron, Vadhan, Salil

    Published 2021
    “…Previously, this problem was known to be solvable by a randomized algorithm using space O(log N) (following Aleliunas et al., FOCS'79) and by a deterministic algorithm using space O(log{3/2}N) (Saks and Zhou, FOCS'95 and JCSS'99), both of which held for arbitrary directed graphs but had not been improved even for undirected graphs. …”
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    Article
  19. 159

    Results on a Super Strong Exponential Time Hypothesis by Vyas, Nikhil, Williams, Ryan

    Published 2022
    “…It has also been hypothesized that k-SAT is hard to solve for randomly chosen instances near the “critical threshold”, where the clause-to-variable ratio is 2k ln 2 −Θ(1). We give a randomized algorithm which refutes the Super-Strong ETH for the case of random k-SAT and planted k-SAT for any clause-to-variable ratio. …”
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    Article
  20. 160

    The complexity of solution concepts in Lipschitz games by Katzman, M

    Published 2022
    “…</p> <p>We show a query lower bound exponential in nλ/𝜖 against randomized algorithms finding 𝜖- approximatepure Nash equilibria of n-player, λ-Lipschitz games. …”
    Thesis