Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Takada, Masaaki"'
Autor:
Takada, Masaaki, Fujisawa, Hironori
This paper presents a comprehensive exploration of the theoretical properties inherent in the Adaptive Lasso and the Transfer Lasso. The Adaptive Lasso, a well-established method, employs regularization divided by initial estimators and is characteri
Externí odkaz:
http://arxiv.org/abs/2308.15838
Autor:
Takada, Masaaki, Fujisawa, Hironori
Machine learning algorithms typically require abundant data under a stationary environment. However, environments are nonstationary in many real-world applications. Critical issues lie in how to effectively adapt models under an ever-changing environ
Externí odkaz:
http://arxiv.org/abs/2006.14845
Sparse regression such as the Lasso has achieved great success in handling high-dimensional data. However, one of the biggest practical problems is that high-dimensional data often contain large amounts of missing values. Convex Conditioned Lasso (Co
Externí odkaz:
http://arxiv.org/abs/1811.00255
Sparse regularization such as $\ell_1$ regularization is a quite powerful and widely used strategy for high dimensional learning problems. The effectiveness of sparse regularization has been supported practically and theoretically by several studies.
Externí odkaz:
http://arxiv.org/abs/1711.01796
This paper is concerned with conditions for the existence of oscillations in gene regulatory networks with negative cyclic feedback, where time delays in transcription, translation and translocation process are explicitly considered. The primary goal
Externí odkaz:
http://arxiv.org/abs/1212.6325
Autor:
Takada, Masaaki1 (AUTHOR) tkdmah@gmail.com, Suzuki, Taiji2 (AUTHOR) taiji@mist.i.u-tokyo.ac.jp, Fujisawa, Hironori3 (AUTHOR) fujisawa@ism.ac.jp
Publikováno v:
Neural Computation. Jun2020, Vol. 32 Issue 6, p1168-1221. 54p. 1 Diagram, 3 Charts, 5 Graphs.
Publikováno v:
In Automatica September 2013 49(9):2581-2590
Akademický článek
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Autor:
Sakata, Shinji, Tonooka, Toshiki, Ishizeki, Shinobu, Takada, Masaaki, Sakamoto, Mitsuo, Fukuyama, Masafumi, Benno, Yoshimi
Publikováno v:
FEMS Microbiology Letters; Feb2005, Vol. 243 Issue 2, p417-423, 7p
Autor:
Endo, Akihiko, Ayusawa, Mamoru, Minato, Michiyoshi, Takada, Masaaki, Takahashi, Shigeru, Harada, Kensuke
Publikováno v:
Pediatrics International; Feb2000, Vol. 42 Issue 1, p26-30, 5p