Reflection, the Public, and the Modern Machine: An Investigation of the Fukushima Disaster in Relation to the Concepts of Truth and Morality
Sign Up to like & getrecommendations! Published in 2017 at "Japanese Journal of Political Science"
DOI: 10.1017/s1468109917000160
Abstract: Abstract In March 2011, Japan suffered a massive earthquake. The resultant tsunami hit the Fukushima Daiichi nuclear reactor and it was later revealed that the reactor was actually in a state of meltdown. While it… read more here.
Keywords: machine investigation; modern machine; public modern; reflection public ... See more keywords
Modern machine learning for tackling inverse problems in chemistry: molecular design to realization.
Sign Up to like & getrecommendations! Published in 2022 at "Chemical communications"
DOI: 10.1039/d1cc07035e
Abstract: The discovery of new molecules and materials helps expand the horizons of novel and innovative real-life applications. In pursuit of finding molecules with desired properties, chemists have traditionally relied on experimentation and recently on combinatorial… read more here.
Keywords: inverse problems; chemistry; machine learning; problems chemistry ... See more keywords
Handling high-dimensional data with missing values by modern machine learning techniques
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2022.2068514
Abstract: High-dimensional data have been regarded as one of the most important types of big data in practice. It happens frequently in practice including genetic study, financial study, and geographical study. Missing data in high dimensional… read more here.
Keywords: machine learning; modern machine; dimensional data; high dimensional ... See more keywords
Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac4ed1
Abstract: Objective. Accurate decoding of individual finger movements is crucial for advanced prosthetic control. In this work, we introduce the use of Riemannian-space features and temporal dynamics of electrocorticography (ECoG) signal combined with modern machine learning… read more here.
Keywords: finger movements; state; finger; machine learning ... See more keywords
Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures
Sign Up to like & getrecommendations! Published in 2024 at "Machine Learning"
DOI: 10.1088/2632-2153/adf375
Abstract: The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently… read more here.
Keywords: geometric topological; machine learning; non euclidean; modern machine ... See more keywords
Modern Machine-Learning Predictive Models for Diagnosing Infectious Diseases
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/6902321
Abstract: Controlling infectious diseases is a major health priority because they can spread and infect humans, thus evolving into epidemics or pandemics. Therefore, early detection of infectious diseases is a significant need, and many researchers have… read more here.
Keywords: predictive models; infectious diseases; machine learning; modern machine ... See more keywords