Výsledky vyhledávání - "Shirayama, Susumu"

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Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks

Autor: Kobayashi, Shusuke, Shirayama, Susumu

A method to predict time-series using multiple deep learners and a Bayesian network is proposed. In this study, the input explanatory variables are Bayesian network nodes that are associated with learners. Training data are divided using K-means clus

Externí odkaz: http://arxiv.org/abs/2008.07709

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A New Analysis Method for Simulations Using Node Categorizations

Autor: Yuasa, Tomoyuki, Shirayama, Susumu

Most research concerning the influence of network structure on phenomena taking place on the network focus on relationships between global statistics of the network structure and characteristic properties of those phenomena, even though local structu

Externí odkaz: http://arxiv.org/abs/1203.1150

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Eigenmode of Decision-By-Majority Process on Complex Networks

Autor: Uchida, Makoto, Shirayama, Susumu

The nature of dynamics of opinion formation modeled as a decision-by-majority process in complex networks is investigated using eigenmode analysis. Hamiltonian of the system is defined, and estimated by eigenvectors of the adjacency matrix constructe

Externí odkaz: http://arxiv.org/abs/0710.1156

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Effect of initial conditions on Glauber dynamics in complex networks

Autor: Uchida, Makoto, Shirayama, Susumu

The effect of initial spin configurations on zero-temperature Glauber spin dynamics in complex networks is investigated. In a system in which the initial spins are defined by centrality measures at the vertices of a network, a variety of non-trivial

Externí odkaz: http://arxiv.org/abs/cond-mat/0702482

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