Results 211 to 220 of about 2,612,449 (235)
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Evaluation Repeated Random Walks in Community Detection of Social Networks
2010 International Conference on Machine Learning and Cybernetics, 2010The repeated random walks algorithm (RRW) is a graph clustering algorithm proposed recently. RRW has been shown to achieve better performance on functional module discovery in protein-protein interaction networks than Markov Clustering Algorithm (MCL). There is however little work applying RRW to community detection in social networks.
Haiying Wang, Hui-Ru Zheng
exaly +5 more sources
Sequential Analysis, 2017
ABSTRACTHsu and Robbins (1947) introduced the concept of complete convergence as a complement to the Kolmogorov strong law in that they proved that provided the mean of the summands is zero and that the variance is finite. Later, Erdős proved the necessity (1949, 1950).
Ulrich Stadtmüller, Allan Gut
exaly +2 more sources
ABSTRACTHsu and Robbins (1947) introduced the concept of complete convergence as a complement to the Kolmogorov strong law in that they proved that provided the mean of the summands is zero and that the variance is finite. Later, Erdős proved the necessity (1949, 1950).
Ulrich Stadtmüller, Allan Gut
exaly +2 more sources
Continuous Time Open Quantum Random Walks and Non-Markovian Lindblad Master Equations
Journal of Statistical Physics, 2014Clément pellegrini
exaly +3 more sources
Physiotherapy Research International, 2023
AbstractObjectiveTo explore the effects of incorporating dual task into a repeated 6‐min walk test (6MWT) on balance and walking functions in patients with subacute stroke.MethodsTwenty‐eight subacute stroke survivors were randomized into experimental group (EG) and control group (CG).
In‐Hyup Jung, Duck‐Won Oh
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AbstractObjectiveTo explore the effects of incorporating dual task into a repeated 6‐min walk test (6MWT) on balance and walking functions in patients with subacute stroke.MethodsTwenty‐eight subacute stroke survivors were randomized into experimental group (EG) and control group (CG).
In‐Hyup Jung, Duck‐Won Oh
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Journal of Biological Systems, 1999
We study the asymptotic behaviour of an infinite system of differential equations describing the expectations in a branching random walk. The original stochastic formulation was employed to describe the process of evolution of reversible drug resistance in cancer cells.
ADAM BOBROWSKI, MAREK KIMMEL
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We study the asymptotic behaviour of an infinite system of differential equations describing the expectations in a branching random walk. The original stochastic formulation was employed to describe the process of evolution of reversible drug resistance in cancer cells.
ADAM BOBROWSKI, MAREK KIMMEL
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Journal of Pharmaceutical Sciences, 1991
A random walk method for predicting percutaneous drug absorption pharmacokinetics was proposed. The profiles predicted by this method were compatible with those predicted by the analytical method. The random walk method is particularly useful for predicting complex processes such as repeated topical application of a drug.
K, Kubota, E, Koyama, K, Yasuda
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A random walk method for predicting percutaneous drug absorption pharmacokinetics was proposed. The profiles predicted by this method were compatible with those predicted by the analytical method. The random walk method is particularly useful for predicting complex processes such as repeated topical application of a drug.
K, Kubota, E, Koyama, K, Yasuda
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Selected Topics in Random Walks in Random Environment
, 2013Random walk in random environment (RWRE) is a fundamental model of statistical mechanics, describing the movement of a particle in a highly disordered and inhomogeneous medium as a random walk with random jump probabilities.
Alexander Drewitz, Alejandro Ramírez
semanticscholar +1 more source
Random Walks on Quasi-One-Dimensional Lattices
Journal of statistical physics, 2023S. Sasom, V. Hengpunya
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Quantum Random Walks with General Particle States
Communications in Mathematical Physics, 2014A. Belton
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