Zobrazeno 1 - 10
of 47 674
pro vyhledávání: '"Irie"'
Publikováno v:
Kōtuitui, Vol 19, Iss 3, Pp 315-334 (2024)
This article reports the findings of two studies of the Aotearoa coronial service that sought to understand how coronial processes engage with whānau who have lost a rangatahi to suicide. The aim of the combined study was to understand the extent to
Externí odkaz:
https://doaj.org/article/0de6e5d5f3ce4c01b29c72d9f39f09bc
Publikováno v:
Trees, Forests and People, Vol 15, Iss , Pp 100477- (2024)
Tropical forests play a crucial role in climate regulation due to their high carbon sequestration capacity. However, degradation and disturbances in these forests may result in significant carbon losses. This study focuses on the impact of various bi
Externí odkaz:
https://doaj.org/article/b563d803c07f4eb68cf9c48435a66aef
Shrinkage priors are a popular Bayesian paradigm to handle sparsity in high-dimensional regression. Still limited, however, is a flexible class of shrinkage priors to handle grouped sparsity, where covariates exhibit some natural grouping structure.
Externí odkaz:
http://arxiv.org/abs/2412.15293
This paper presents a new Bayesian framework for quantifying discretization errors in numerical solutions of ordinary differential equations. By modelling the errors as random variables, we impose a monotonicity constraint on the variances, referred
Externí odkaz:
http://arxiv.org/abs/2411.08338
This paper explores the problem of 3D human pose estimation from only low-level acoustic signals. The existing active acoustic sensing-based approach for 3D human pose estimation implicitly assumes that the target user is positioned along a line betw
Externí odkaz:
http://arxiv.org/abs/2411.07165
Large-scale pre-trained models (PTMs) provide remarkable zero-shot classification capability covering a wide variety of object classes. However, practical applications do not always require the classification of all kinds of objects, and leaving the
Externí odkaz:
http://arxiv.org/abs/2411.00409
Publikováno v:
Cancer Management and Research, Vol Volume 13, Pp 215-223 (2021)
Shigeki Minami,1 Chika Sakimura,1 Junji Irie,2 Yukiko Tokai,3 Hitoshi Okubo,4 Tsuyoshi Ohno5 1Department of Breast and Endocrine Surgery, Nagasaki Harbor Medical Center, Nagasaki 850-8555, Japan; 2Department of Pathology, Nagasaki Harbor Medical Cent
Externí odkaz:
https://doaj.org/article/f0db62876778457099d3278acb2d0a07
Publikováno v:
J. Phys. Soc. Jpn 94, 1, 013001 (2024)
Quantum annealing can efficiently obtain solutions to combinatorial optimization problems. Size-reduction methods are used to treat large-scale combinatorial optimization problems that cannot be input directly into a quantum annealer because of its s
Externí odkaz:
http://arxiv.org/abs/2410.21924
Autor:
Irie, Kazuki, Lake, Brenden M.
Since the earliest proposals for neural network models of the mind and brain, critics have pointed out key weaknesses in these models compared to human cognitive abilities. Here we review recent work that uses metalearning to overcome several classic
Externí odkaz:
http://arxiv.org/abs/2410.10596
Autor:
Masuda, Riku, Irie, Kaoru
Bayesian predictive synthesis is useful in synthesizing multiple predictive distributions coherently. However, the proof for the fundamental equation of the synthesized predictive density has been missing. In this technical report, we review the seri
Externí odkaz:
http://arxiv.org/abs/2409.09660