Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Shinto Eguchi"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Nonlinear phenomena are universal in ecology. However, their inference and prediction are generally difficult because of autocorrelation and outliers. A traditional least squares method for parameter estimation is capable of improving short-
Externí odkaz:
https://doaj.org/article/894b93dc70be47c9b2221d800da7711f
Autor:
Katsuhiro Omae, Shinto Eguchi
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-12 (2020)
Abstract Background To accurately predict the response to treatment, we need a stable and effective risk score that can be calculated from patient characteristics. When we evaluate such risks from time-to-event data with right-censoring, Cox’s prop
Externí odkaz:
https://doaj.org/article/cb99a270410b49b4a87c593b157d713f
Publikováno v:
International Journal of Mathematics for Industry, Vol 11, Iss 1, Pp 1950002-1-1950002-10 (2019)
In this paper, as data, ellipsoids in a color coordinate called the Commission Internationale de l’Eclairage (CIE)-Lab system are given as data for 19 colors. Each ellipsoid is a region where all points are visually recognized as the same color at
Externí odkaz:
https://doaj.org/article/9c3965c180a4466fb209437f16f19e18
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-15 (2017)
Abstract Background Linear scores are widely used to predict dichotomous outcomes in biomedical studies because of their learnability and understandability. Such approaches, however, cannot be used to elucidate biodiversity when there is heterogeneou
Externí odkaz:
https://doaj.org/article/151d98e133b74a289fd79f277dd5661f
Autor:
Osamu Komori, Shinto Eguchi
Publikováno v:
Entropy, Vol 23, Iss 5, p 518 (2021)
Clustering is a major unsupervised learning algorithm and is widely applied in data mining and statistical data analyses. Typical examples include k-means, fuzzy c-means, and Gaussian mixture models, which are categorized into hard, soft, and model-b
Externí odkaz:
https://doaj.org/article/4291268da60b4c50a5e7db5942c46afd
Publikováno v:
Entropy, Vol 17, Iss 8, Pp 5673-5694 (2015)
In this paper, we investigate the basic properties of binary classification with a pseudo model based on the Itakura–Saito distance and reveal that the Itakura–Saito distance is a unique appropriate measure for estimation with the pseudo model in
Externí odkaz:
https://doaj.org/article/41c4a7329be84343b7f879df451a242c
Autor:
Satoru Koda, Yoshihiko Onda, Hidetoshi Matsui, Kotaro Takahagi, Yukiko Uehara-Yamaguchi, Minami Shimizu, Komaki Inoue, Takuhiro Yoshida, Tetsuya Sakurai, Hiroshi Honda, Shinto Eguchi, Ryuei Nishii, Keiichi Mochida
Publikováno v:
Frontiers in Plant Science, Vol 8 (2017)
We report the comprehensive identification of periodic genes and their network inference, based on a gene co-expression analysis and an Auto-Regressive eXogenous (ARX) model with a group smoothly clipped absolute deviation (SCAD) method using a time-
Externí odkaz:
https://doaj.org/article/17ffcf34db3c4d069324b09a1f2554a9
Publikováno v:
Entropy, Vol 16, Iss 7, Pp 3552-3572 (2014)
We discuss a special class of generalized divergence measures by the use of generator functions. Any divergence measure in the class is separated into the difference between cross and diagonal entropy. The diagonal entropy measure in the class associ
Externí odkaz:
https://doaj.org/article/49476ad3bcd2465396e5fab317d21c2a
Autor:
Shinto Eguchi, Atsumi Ohara
Publikováno v:
Entropy, Vol 15, Iss 11, Pp 4732-4747 (2013)
We demonstrate that the q-exponential family particularly admits natural geometrical structures among deformed exponential families. The property is the invariance of structures with respect to a general linear group, which transitively acts on the s
Externí odkaz:
https://doaj.org/article/d589ee897f1d457ca3ec3beca6b4ef6e
Publikováno v:
Entropy, Vol 13, Iss 10, Pp 1746-1764 (2011)
We discuss a one-parameter family of generalized cross entropy between two distributions with the power index, called the projective power entropy. The cross entropy is essentially reduced to the Tsallis entropy if two distributions are taken to be e
Externí odkaz:
https://doaj.org/article/9a1e846c52774f6fbd21741decd862ff