Results 1 to 10 of about 113,995 (168)
Evaluating dimensionality reduction for genomic prediction
Frontiers in Genetics, 2022 The development of genomic selection (GS) methods has allowed plant breeding programs to select favorable lines using genomic data before performing field trials.
Vamsi Manthena +8 more
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Computation, 2021 Gene regulation is orchestrated by a vast number of molecules, including transcription factors and co-factors, chromatin regulators, as well as epigenetic mechanisms, and it has been shown that transcriptional misregulation, e.g., caused by mutations in ...
Michael Banf, Thomas Hartwig
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Memory-Efficient Random Order Exponentiation Algorithm
IEEE Access, 2020 Randomizing the execution of the sequence of operations in an algorithm is one of the most frequently considered solutions to improve the security of cryptographic implementations against sidechannel analysis.
Duc-Phong Le, Ali A. Ghorbani
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DYNAMIC AUTHORIZATION BASED ON THE HISTORY OF EVENTS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2016 The new paradigm in the field of access control systems with fuzzy authorization is proposed. Let there is a set of objects in a single data transmissionnetwork.
Maxim V. Baklanovsky, Arthur R. Khanov
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Cryptography and Algorithmic Randomness [PDF]
Theory of Computing Systems, 2014 34 pages, LaTeX2e, no ...
Kohtaro Tadaki, Norihisa Doi
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Quantum algorithmic randomness [PDF]
Journal of Mathematical Physics, 2021 Quantum Martin-Löf randomness (q-MLR) for infinite qubit sequences was introduced by Nies and Scholz [J. Math. Phys. 60(9), 092201 (2019)]. We define a notion of quantum Solovay randomness, which is equivalent to q-MLR. The proof of this goes through a purely linear algebraic result about approximating density matrices by subspaces.
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On Application of the Ray-Shooting Method for LQR via Static-Output-Feedback
Algorithms, 2018 In this article we suggest a randomized algorithm for the LQR (Linear Quadratic Regulator) optimal-control problem via static-output-feedback. The suggested algorithm is based on the recently introduced randomized optimization method called the Ray ...
Yossi Peretz
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Matching solid shapes in arbitrary dimension via random sampling [PDF]
Discrete Mathematics & Theoretical Computer Science, 2012 We give simple probabilistic algorithms that approximately maximize the volume of overlap of two solid, i.e. full-dimensional, shapes under translations and rigid motions. The shapes are subsets of $ℝ^d$ where $d≥ 2$.
Daria Schymura
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The Online Reservation Problem
Algorithms, 2020 Many sharing-economy platforms operate as follows. Owners list the availability of resources, prices, and contract-length limits. Customers propose contract start times and lengths. The owners decide immediately whether to accept or decline each proposal,
Shashank Goyal, Diwakar Gupta
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Novel and Efficient Randomized Algorithms for Feature Selection
Big Data Mining and Analytics, 2020 Feature selection is a crucial problem in efficient machine learning, and it also greatly contributes to the explainability of machine-driven decisions. Methods, like decision trees and Least Absolute Shrinkage and Selection Operator (LASSO), can select ...
Zigeng Wang +2 more
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