Zobrazeno 1 - 10
of 352
pro vyhledávání: '"Matsui, Tomoko"'
Autor:
Arandjelović, Aleksandar, Shevchenko, Pavel V., Matsui, Tomoko, Murakami, Daisuke, Myrvoll, Tor A.
Stochastic versions of recursive integrated climate-economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of stochastic shocks increases, solving these models as dynamic progra
Externí odkaz:
http://arxiv.org/abs/2408.09642
Functional Isolation Forest (FIF) is a recent state-of-the-art Anomaly Detection (AD) algorithm designed for functional data. It relies on a tree partition procedure where an abnormality score is computed by projecting each curve observation on a dra
Externí odkaz:
http://arxiv.org/abs/2403.04405
We have devised a data-driven framework for uncovering hidden control strategies used by an evolutionary system described by an evolutionary probability distribution. This innovative framework enables deciphering of the concealed mechanisms that cont
Externí odkaz:
http://arxiv.org/abs/2309.15844
Publikováno v:
Proceedings of the 39th International Conference on Machine Learning, PMLR 162:8523-8534, 2022
We propose a new framework that generalizes the parameters of neural network models to $C^*$-algebra-valued ones. $C^*$-algebra is a generalization of the space of complex numbers. A typical example is the space of continuous functions on a compact s
Externí odkaz:
http://arxiv.org/abs/2206.09513
Autor:
Matsui, Tomoko.
Originally presented as the author's Thesis--University College, London, 1995.
Description based on print version record. Includes bibliographical references and index.
Description based on print version record. Includes bibliographical references and index.
Externí odkaz:
http://site.ebrary.com/lib/librarytitles/Doc?id=5000250
The classical DICE model is a widely accepted integrated assessment model for the joint modeling of economic and climate systems, where all model state variables evolve over time deterministically. We reformulate and solve the DICE model as an optima
Externí odkaz:
http://arxiv.org/abs/2111.00835
Autor:
Tran, Vu, Matsui, Tomoko
The COVID-19 pandemic, which began in December 2019, progressed in a complicated manner and thus caused problems worldwide. Seeking clues to the reasons for the complicated progression is necessary but challenging in the fight against the pandemic. W
Externí odkaz:
http://arxiv.org/abs/2111.10404
A practical algorithm has been developed for closeness analysis of sequential data that combines closeness testing with algorithms based on the Markov chain tester. It was applied to reported sequential data for COVID-19 to analyze the evolution of C
Externí odkaz:
http://arxiv.org/abs/2106.16094
Autor:
Nishino, Kazumi, Shih, Jin-Yuan, Nakagawa, Kazuhiko, Reck, Martin, Garon, Edward B., Carlsen, Michelle, Matsui, Tomoko, Visseren-Grul, Carla, Nadal, Ernest
Publikováno v:
In JTO Clinical and Research Reports February 2024 5(2)