[HTML][HTML] Deep learning, reinforcement learning, and world models
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable
factors to achieve human-level or super-human AI systems. On the other hand, both DL …
factors to achieve human-level or super-human AI systems. On the other hand, both DL …
Human dental pulp stem cells with highly angiogenic and neurogenic potential for possible use in pulp regeneration
M Nakashima, K Iohara, M Sugiyama - Cytokine & growth factor reviews, 2009 - Elsevier
Dental caries is a common public health problem, causing early loss of dental pulp and
resultant tooth loss. Dental pulp has important functions to sustain teeth providing nutrient and …
resultant tooth loss. Dental pulp has important functions to sustain teeth providing nutrient and …
Organogenesis in vitro
M Sugiyama - Current opinion in plant biology, 1999 - Elsevier
… Author links open overlay panel Munetaka Sugiyama … I Yasutani, S Ozawa, T Nishida,
M Sugiyama, A Komamine … S Ozawa, I Yasutani, H Fukuda, A Komamine, M Sugiyama …
M Sugiyama, A Komamine … S Ozawa, I Yasutani, H Fukuda, A Komamine, M Sugiyama …
Role of adaptor TRIF in the MyD88-independent toll-like receptor signaling pathway
…, H Sanjo, O Takeuchi, M Sugiyama, M Okabe… - Science, 2003 - science.org
Stimulation of Toll-like receptors (TLRs) triggers activation of a common MyD88-dependent
signaling pathway as well as a MyD88-independent pathway that is unique to TLR3 and …
signaling pathway as well as a MyD88-independent pathway that is unique to TLR3 and …
Genome-wide association of IL28B with response to pegylated interferon-α and ribavirin therapy for chronic hepatitis C
Y Tanaka, N Nishida, M Sugiyama, M Kurosaki… - Nature …, 2009 - nature.com
The recommended treatment for patients with chronic hepatitis C, pegylated interferon-α (PEG-IFN-α)
plus ribavirin (RBV), does not provide sustained virologic response (SVR) in all …
plus ribavirin (RBV), does not provide sustained virologic response (SVR) in all …
Co-teaching: Robust training of deep neural networks with extremely noisy labels
Deep learning with noisy labels is practically challenging, as the capacity of deep models is
so high that they can totally memorize these noisy labels sooner or later during training. …
so high that they can totally memorize these noisy labels sooner or later during training. …
[BOOK][B] Dataset shift in machine learning
J Quiñonero-Candela, M Sugiyama, A Schwaighofer… - 2022 - books.google.com
… In chapter 7 Masashi Sugiyama and coworkers also discuss the problems of model selection
… N(x; m, K) will be used to denote the Gaussian distribution function of x, with mean m and …
… N(x; m, K) will be used to denote the Gaussian distribution function of x, with mean m and …
[PDF][PDF] Covariate shift adaptation by importance weighted cross validation.
… regression called subspace information criterion (SIC) (Sugiyama and Ogawa, 2001) was
similarly extended to be still unbiased (Sugiyama and Müller, 2005). Although these model …
similarly extended to be still unbiased (Sugiyama and Müller, 2005). Although these model …
Direct importance estimation with model selection and its application to covariate shift adaptation
When training and test samples follow different input distributions (ie, the situation called\emph
{covariate shift}), the maximum likelihood estimator is known to lose its consistency. For …
{covariate shift}), the maximum likelihood estimator is known to lose its consistency. For …
[PDF][PDF] Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis.
M Sugiyama - Journal of machine learning research, 2007 - jmlr.org
… analysis is available from the author’s website: ‘http://sugiyama-www.cs.titech.ac.jp/sugi/software/…
A MATLAB implementation is available from ‘http://sugiyama-www.cs.titech.ac.jp/sugi/…
A MATLAB implementation is available from ‘http://sugiyama-www.cs.titech.ac.jp/sugi/…