Results 51 to 60 of about 2,610,566 (306)
RANDOMIZED ALGORITHMS FOR MOTIF DETECTION [PDF]
Journal of Bioinformatics and Computational Biology, 2005 Motivation: Motif detection for DNA sequences has many important applications in biological studies, e.g. locating binding sites regulatory signals, designing genetic probes etc. In this paper, we propose a randomized algorithm, design an improved EM algorithm and combine them to form a software tool. Results: (1) We design a randomized algorithm for
Lusheng Wang 0001, Liang Dong
openaire +2 more sources
PAC–Bayes Guarantees for Data-Adaptive Pairwise Learning
EntropyWe study the generalization properties of stochastic optimization methods under adaptive data sampling schemes, focusing on the setting of pairwise learning, which is central to tasks like ranking, metric learning, and AUC maximization.
Sijia Zhou, Yunwen Lei, Ata Kabán
doaj +1 more source
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)
IEEE Access, 2021 Big data analysis has become a crucial part of new emerging technologies such as the internet of things, cyber-physical analysis, deep learning, anomaly detection, etc.
Salman Ahmadi-Asl +6 more
doaj +1 more source
Randomized Competitive Analysis for Two Server Problems
Algorithms, 2008 We prove that there exists a randomized online algorithm for the 2-server 3-point problem whose expected competitive ratio is at most 1.5897. This is the first nontrivial upper bound for randomized k-server algorithms in a general metric space whose ...
Jun Kawahara, Kazuo Iwama, Wolfgang Bein
doaj +1 more source
Quantum online algorithms for a model of the request-answer game with a buffer
Учёные записки Казанского университета: Серия Физико-математические науки, 2020 In this paper, we considered online algorithms as a request-answer game between two players: an adversary that generates input requests and an online algorithm that answers them.
K.R. Khadiev, D.I. Lin
doaj +1 more source
Model checking randomized distributed algorithms [PDF]
, 2020 International audienceRandomization is a powerful paradigm to solve hard problems, especially in distributed computing. Proving the correctness, and assessing the performances, of randomized distributed algorithms, is a very challenging research ...
Bertrand, Nathalie
core +1 more source
Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
Systematic Reviews, 2022 Background Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requirements to explicitly identify the design as cluster randomized in titles and abstracts, making retrieval ...
Ahmed A. Al-Jaishi +7 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
Physical Review X, 2021 The successful implementation of algorithms on quantum processors relies on the accurate control of quantum bits (qubits) to perform logic gate operations.
Akel Hashim +13 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source