-
141
Pseudo-deterministic streaming
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. …”
Get full text
Article -
142
Concurrent disjoint set union
Published 2021“…The analysis of the second randomized algorithm is valid even if the scheduler is adversarial. …”
Get full text
Article -
143
Broadcasting in unreliable radio networks
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.…”
Get full text
Get full text
Article -
144
-
145
Partially Symmetric Functions Are Efficiently Isomorphism Testable
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. …”
Get full text
Article -
146
The development of cloud modelling and motion analysis for virtual environment
Published 2005“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
Get full text
Monograph -
147
The development of cloud modelling and motion analysis for virtual environment
Published 2005“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
Get full text
Monograph -
148
A randomized approach to speed up the analysis of large-scale read-count data in the application of CNV detection
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. …”
Get full text
Article -
149
A hybrid recommender system based-on link prediction for movie baskets analysis
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.…”
Get full text
Article -
150
-
151
Hardness of Low Delay Network Scheduling
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).…”
Get full text
Get full text
Get full text
Article -
152
-
153
A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees
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. …”
Get full text
Journal Article -
154
On low-risk heavy hitters and sparse recovery schemes
Published 2018“…For the weakest variant, we give a randomized algorithm improving the failure probability analysis of the ubiquitous Count-Min data structure. …”
Get full text
Get full text
Journal Article -
155
Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: study protocol for a parallel group randomized controlled trial
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. …”
Get full text
Article -
156
-
157
Towards breaking the exponential barrier for general secret sharing
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. …”
Get full text
Article -
158
High-precision Estimation of Random Walks in Small Space
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. …”
Get full text
Article -
159
Results on a Super Strong Exponential Time Hypothesis
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. …”
Get full text
Article -
160
The complexity of solution concepts in Lipschitz games
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